[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong fit on education, analytics, project leadership and stakeholder-facing experience, but lacks explicit exposure to formal strategic frameworks, named project management tools, and KPI/dashboard tooling expected in a corporate strategy/PMO context. **✅ Strengths:** - Engineering degree plus MITx Supply Chain MicroMasters, aligning with analytical and quantitative expectations for the role - Proven track record of designing and executing complex, cross-functional projects from concept to production - Fluent English and experience operating at the interface of business, finance, and technology, supporting executive communication **❌ Missing Required:** Named project management tools (e.g., MS Project, Jira, Asana), Formal strategic frameworks: OKRs, Formal strategic frameworks: Balanced Scorecard, KPI/dashboard tools (e.g., Power BI, Tableau, Looker)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong automation, Linux familiarity, and systems-architecture background with demonstrable self-hosting and scripting experience make the candidate a fast learner and a solid contender; however, the role requires deep, senior RHEL/Oracle Linux administration and Ansible/Satellite expertise that are not demonstrated on the resume. **⚠️ Critical Gaps:** - Ansible (including custom module development) - Red Hat / Oracle Linux senior administration - Red Hat Satellite (system provisioning & patch management) - Advanced Linux patching/kernel upgrade experience **✅ Strengths:** - Proven automation and systems architecture (built production JIT and self-hosted AI clusters) - Strong scripting and development with Python plus shell scripting - Infrastructure tooling experience (Docker, Terraform, Git) and operational mindset **❌ Missing Required:** 8+ years explicit Red Hat/Oracle Linux system administration, Ansible proficiency for configuration management and custom modules, Red Hat Satellite experience, Documented experience with enterprise patching/kernel upgrade workflows

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong Python, systems architecture, and automation skills with a solid foundation in data analysis and a proven fast-learner track record. However, there are critical gaps in core required skills like 5+ years of Power BI development (including DAX and semantic modeling) and professional experience with PySpark/Databricks, which are central to this Data Engineer role. While possessing transferable skills in general data and infrastructure, the lack of specific platform experience for this BI-focused data engineering position makes the candidate a poor fit. **⚠️ Critical Gaps:** - 5+ years of experience with Power BI development and engineering (DAX and semantic model development and deployment) - Professional working experience with Databricks, Fabric, or similar Spark platforms (PySpark) **✅ Strengths:** - Strong Python coding ability with practical application in automated systems and data analysis. - Extensive experience in designing and deploying robust technical infrastructure and automated solutions. - Proven capacity for rapid learning and continuous self-improvement in advanced technical domains. **❌ Missing Required:** 5+ years of experience with Power BI development and engineering (DAX and semantic model development and deployment), Strong hands on coding ability in PySpark, Professional working experience with Databricks, Fabric, or similar Spark platforms, Fair knowledge on the use of Azure Dev Ops (ADO) to manage repository and versions

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture and hands-on operational leadership with clear evidence of cross-functional project delivery and technical breadth (Python, infra, CI/CD). Lacks a few domain-specific program-management artifacts and methodologies the role calls out (Six Sigma, explicit MS Project/Primavera experience, PMP), but fast-learning track record and 10+ years of engineering/operations experience make this a realistic hire for Managed Services with minimal ramp. **✅ Strengths:** - Systems architecture and end-to-end operationalization (built production JIT and self-hosted AI clusters) - Strong automation and infrastructure chops (Docker, Terraform, CI/CD, Linux) - Demonstrated fast learner and independent delivery (freelance projects, founder experience) **❌ Missing Required:** Six Sigma (not present or referenced), Travel availability 50-75% (not specified)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptional match for the AI Engineer role, demonstrating strong and direct experience across all required skills, including extensive AI/ML development, deployment, and data processing. Their proven ability to self-host LLMs and build algorithmic trading systems, combined with a clear career progression into AI infrastructure, aligns perfectly with the job's demands. **✅ Strengths:** - Extensive experience in AI/ML development, infrastructure, and deployment (self-hosted LLMs, production systems). - Strong proficiency in Python, ML frameworks (PyTorch), and experience with data processing pipelines. - Proven fast learner with a clear career trajectory into AI, demonstrating adaptability and continuous skill acquisition.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems/architecture, Python, Docker, Postgres and CI/CD experience show good potential and fast-learning ability for cloud and platform gaps; however multiple core platform requirements (.NET/C#, Kubernetes/EKS, production AWS services and SAP) are absent or only lightly present, limiting immediate fit for a hands-on .NET/Java platform role. **⚠️ Critical Gaps:** - C# / .NET Core (primary dev platform missing) - Kubernetes (EKS) - container orchestration for production - AWS production services (DynamoDB/EKS/RDS) beyond basic familiarity - SAP (enterprise ERP experience expected by role) **✅ Strengths:** - System architecture and infrastructure design for production services - Python-based engineering and ML/LLM local deployment expertise - Container familiarity (Docker), CI/CD automation and database (Postgres) experience **❌ Missing Required:** .NET Core / C# (not present, cannot be inferred), Kubernetes / EKS (not shown), Production-level AWS (EC2/S3/RDS/DynamoDB) - resume lists only basic AWS knowledge, Java (listed as required but not on resume), Oracle / NoSQL databases (Oracle and NoSQL not present), SAP (explicit enterprise SAP experience not present), Atlassian toolchain (Jira/Confluence/Bitbucket/Bamboo not listed), Windows OS administration (only Linux listed), Event-driven mensageria (Kafka/RabbitMQ not mentioned), Network configs (VPN/Proxy experience not shown)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong foundation in Python, SQL, system architecture, and building automated data-intensive systems, evidenced by complex projects in JIT inventory, LLM infrastructure, and algorithmic trading. While direct experience with the specific Azure Databricks ecosystem, Apache Spark, and Data Mesh is missing, their proven 'fast learner' ability and progressive career trajectory towards technical/AI infrastructure strongly mitigate these gaps, indicating high potential for rapid upskilling. **✅ Strengths:** - Strong Python and SQL expertise applied in complex, data-intensive system development (JIT, LLM, algorithmic trading). - Extensive experience in building robust, automated systems and managing infrastructure, demonstrating strong data architecture and pipeline building capabilities. - Proven fast learner with a clear career trajectory towards advanced technical/AI infrastructure, showing high adaptability and potential to quickly acquire new specific technologies. - Solid understanding of data governance and security principles through practical application (privacy, RBAC, risk management). **❌ Missing Required:** Azure Databricks (platform, including Jobs, Delta Live Tables, ADLS), Apache Spark / PySpark (advanced experience), Data Mesh (deep understanding and practical implementation)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato demonstra forte experiência em arquitetura de sistemas, automação, IA local, liderança técnica e integração de negócios com tecnologia. Possui domínio em Python, automação, clusters de IA, privacidade, e experiência em Supply Chain e Finanças, além de inglês fluente. As principais lacunas são experiência comprovada em gestão de grandes estruturas de dados, plataformas modernas de dados em escala (Lakehouse, Streaming), e domínio avançado de AWS. **⚠️ Critical Gaps:** - Gestão de grandes estruturas de dados - Plataformas modernas de dados em escala **✅ Strengths:** - Domínio em IA e automação - Visão estratégica de negócios e tecnologia - Inglês fluente e experiência internacional **❌ Missing Required:** Profundo conhecimento em arquitetura de soluções em Cloud (ênfase em AWS), Experiência comprovada liderando grandes estruturas de dados

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical and analytical foundation with perfect language match for Latin America operations, but lacks direct Product Owner and modern data analytics tool experience. However, demonstrates excellent systems thinking and business-technical bridge capabilities that could transfer well. **⚠️ Critical Gaps:** - Product Owner experience - Modern data analytics platforms **✅ Strengths:** - Native Portuguese + fluent English for Latin America - Strong systems architecture and business alignment - Proven analytical capabilities with financial/supply chain data **❌ Missing Required:** Power BI, Databricks, Azure DevOps, Agile/SAFe experience

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em modelagem, integração e transformação de dados, com domínio avançado em Python e SQL, além de experiência comprovada em projetos complexos e multidisciplinares. Inglês fluente, formação em Engenharia, e histórico de entrega de sistemas autossustentáveis reforçam o potencial de adaptação e aprendizado rápido. As principais lacunas são certificações específicas, ferramentas de data lineage/catalog, e GraphQL, mas não são bloqueantes para a vaga. **✅ Strengths:** - Proficiência em Python e SQL - Experiência comprovada em projetos de automação e integração de dados - Inglês fluente e formação em Engenharia

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong background in infrastructure, automation, and system architecture, aligning well with the core responsibilities. While specific virtualization platforms are missing, strong inferred skills and a proven fast-learning ability mitigate these gaps. The career trajectory also shows a clear progression towards technical roles. **✅ Strengths:** - Extensive experience in automation, Linux infrastructure, and CI/CD pipelines. - Proven ability to translate business requirements into robust, scalable technical solutions. - Demonstrated fast-learning capability and intentional career progression into technical architecture. **❌ Missing Required:** VMware, XenServer, Huawei DCS, Windows (conhecimento em AD)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly experienced systems architect with strong automation, AI infrastructure, and Python skills, demonstrating exceptional learning ability. However, the role requires extensive and specific experience in traditional enterprise Java/Oracle middleware and application platforms (e.g., Tomcat, JBoss, WebLogic, Protheus, SharePoint) which are critical gaps in the candidate's demonstrated technical stack. **⚠️ Critical Gaps:** - Extensive hands-on experience with traditional enterprise Java/Oracle middleware administration and support. - Knowledge and support experience for specific corporate applications like Protheus, SharePoint, and SAS. **✅ Strengths:** - Strong systems architecture and automation experience. - Proficiency in Linux, Python, SQL, Docker, and CI/CD practices. - Exceptional self-learning ability and intentional career progression towards advanced technical roles. **❌ Missing Required:** 5 years minimum experience in support, administration, or sustenance of middleware environments., Windows Server operating system expertise., SQL Server database administration., Oracle database administration., Direct experience with Apache and NGINX in a middleware support context.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Candidate has the required technical education, strong Office/Excel skills and clear evidence of project delivery, procurement and planning experience plus fast-learning technical depth (automation, data, infra). However, two explicitly required toolsets (MS Project advanced and Power Platform) are not listed and domain experience in construction/obras (especially port projects) is limited. **✅ Strengths:** - Relevant technical degree (Mechatronics) and engineering foundation - Proven delivery of end-to-end automation and operational systems (fast-learning, hands-on) - Strong data/automation skills (Python, SQL, reporting) transferable to reporting and controls **❌ Missing Required:** MS Project (advanced), Power BI, Power Automate, Power Apps

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong background in technical systems architecture, AI infrastructure, and engineering, coupled with finance and supply chain expertise. However, the job is for a Marketing Project Manager, demanding specific experience in marketing campaigns, sponsorships, event management, and client/agency account management. This fundamental and extensive domain mismatch makes the candidate a poor fit for the role. **⚠️ Critical Gaps:** - Expertise em Gestão de Projetos de Marketing (sponsorships, events, partnerships, digital marketing) - Mínimo de 4-6 anos de experiência em gestão de contas em agência ou no lado do cliente (no domínio de marketing) **✅ Strengths:** - Forte experiência técnica em arquitetura de sistemas e IA. - Histórico comprovado como rápido aprendiz e autodidata. - Proficiência em inglês e português. **❌ Missing Required:** Marketing de patrocínio, Marketing de parcerias, Marketing de eventos, Marketing de influência, Marketing digital, Experiência com operações e logística de marketing em eventos presenciais, Capacidade de gerenciar relacionamentos no dia a dia com clientes e agências parceiras, Capacidade de pensamento estratégico e criativo (em marketing)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong Python, Linux/Docker, automation and CI/CD experience align with the DevOps side of the role, but there is no direct experience with the core streaming/data platform stack (Kafka/Flink/HBase/Spark/CDP/Ranger/Kubernetes/Airflow), making this a learning-curve hire for a Pleno-Sênior position. **⚠️ Critical Gaps:** - Apache Kafka - Apache Flink - Apache HBase - Apache Spark - Cloudera Data Platform (CDP) - Apache Ranger - Airflow - Kubernetes - Production-grade real-time streaming pipelines **✅ Strengths:** - Python e automação de sistemas complexos (bots de trading, inventário JIT, pipelines de IA) - Sólida base de DevOps/Infra (Docker, Terraform, Linux, Git, CI/CD) - Experiência em ambientes críticos com foco em ROI, resiliência e automação operacional **❌ Missing Required:** Apache Kafka, Apache Flink, Apache HBase, Apache Spark, Cloudera Data Platform (CDP), Apache Ranger, Airflow, Kubernetes, Real-time data streaming experience em escala, Observabilidade específica para pipelines de dados em tempo real, Data governance em plataformas bancárias ou reguladas

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate possesses strong technical leadership and project management skills, but his extensive experience and education are in engineering, AI infrastructure, and supply chain, which are fundamentally different from the creative design, branding, and marketing domain required by this role. This constitutes critical domain gaps. **⚠️ Critical Gaps:** - Ensino Superior completo nas áreas de Comunicação Social, Marketing, Design ou afins. - Sólida experiência anterior em escritório de design,empresas, agências ou produtoras com projetos de marcas, ponto de venda e embalagem e materiais gráficos. **✅ Strengths:** - Strong leadership and coordination experience in technical domains. - Proven track record in project execution and accountability. - Highly adaptable and self-taught, demonstrating a 'fast learner' profile. **❌ Missing Required:** Conhecimento de Ferramentas de Design (Design Thinking, entre outras)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, automation, API integration, and optimization, with a relevant background in supply chain and a clear technical career progression. They are also a proven fast learner. However, a critical gap exists in core required technologies such as C#/.NET, MongoDB, and explicit messaging queue experience (like ServiceBus), which are fundamental to the role. Despite transferable skills and a strong foundational understanding of systems, these specific technical mismatches significantly reduce the overall fit. **⚠️ Critical Gaps:** - C# and .NET **✅ Strengths:** - API Integration - Git/GitHub (version control) - Application Optimization and Debugging **❌ Missing Required:** Advanced SQL Server (procedures, triggers, optimization), MongoDB and NoSQL databases, ServiceBus or other messaging/queue tools

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate has strong project management foundations from Supply Chain and Engineering background with proven systems architecture experience. Demonstrates organizational skills, multi-stakeholder coordination, and technical proficiency. However, lacks direct digital marketing, growth operations, and specific martech tool experience that the role explicitly requires. Strong technical background suggests fast learning capability but critical gap exists in marketing domain expertise. **⚠️ Critical Gaps:** - Zero experiência comprovada em marketing digital (requisito mandatório) - Nenhuma vivência em operações de tráfego, conteúdo ou criativos - Sem histórico em agências, infoprodutores ou times de growth **✅ Strengths:** - Perfil extremamente organizado com comprovação em sistemas de alta complexidade (inventário JIT 95%+ automação) - Forte capacidade analítica e senso de execução demonstrado em múltiplos domínios técnicos e operacionais - Experiência real coordenando múltiplos stakeholders (Supply Chain, Finanças, Operações) com foco em resultados mensuráveis **❌ Missing Required:** Experiência comprovada em gestão/supervisão de projetos de marketing digital, Vivência prática em operações de tráfego, conteúdo, criativos, funis, Atuação prévia em agências/startups/infoprodutores com squads de marketing, Domínio de ferramentas de gestão de projetos (Trello/Asana/ClickUp/Notion)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong technical, project management, and communication skills, and a fast-learner profile. However, there are critical gaps in direct IT Audit experience, knowledge of the ICFR Framework, and Internal Audit processes, which are 'MUST HAVE' requirements for this role. Their career trajectory is also away from this specific governance domain. **⚠️ Critical Gaps:** - IT Audit and Governance Domain Expertise **✅ Strengths:** - Proven Fast Learner & Self-starter - Strong Project Management Skills - Effective Stakeholder Engagement **❌ Missing Required:** ICFR Framework Knowledge, Internal Audit Knowledge, 4+ years IT Audit Experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional profile in system architecture, DevOps, and infrastructure automation, leveraging Python, Docker, and Terraform. Their proven fast-learner ability and ideal career trajectory are significant assets. While there's a critical gap in direct experience with Java/Kotlin and Spring Framework, and some specific messaging/caching tools are missing, their extensive experience in related technical domains and architectural design warrants a strong match. **⚠️ Critical Gaps:** - Java/Kotlin and Spring Framework **✅ Strengths:** - Strong system architecture and solution design capabilities (JIT, LLM clusters) - Extensive DevOps and infrastructure automation expertise (Docker, Terraform, CI/CD, Linux) - Proven fast learner with a relevant career trajectory and strong Python proficiency **❌ Missing Required:** MongoDB, RabbitMQ, Caching Tools, Swagger

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a very strong match for a DevOps Technical Leader role, demonstrating extensive experience in automation, CI/CD principles, and architectural leadership, particularly with hands-on application in production systems. Their background as a founder and architect showcases exceptional ownership and practical application of skills. While specific tooling beyond Git/GitHub, Docker, and Terraform for CI/CD are not explicitly named, the broad range of inferred and directly demonstrated capabilities suggests a highly adaptable and capable professional. **✅ Strengths:** - Exceptional automation and CI/CD pipeline experience, backed by successful production system deployments. - Proven technical leadership, ownership, and problem-solving skills demonstrated through diverse roles. - Strong foundation in cloud concepts (AWS), IaC (Terraform), and containerization (Docker), with a clear learning trajectory.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong technical leadership, systems architecture and end-to-end delivery show high fast‑learner potential and ability to transition into a Scrum Master role quickly; however the resume lacks explicit Scrum Master practice, industry-standard tooling (Jira) and the required CSM certification listed in the JD. **✅ Strengths:** - Proven end-to-end delivery of production systems (concept → execution) - Deep technical fluency in automation, infra and CI/CD enabling credible technical leadership - Fast learner with hands-on experience deploying and operating complex AI/infrastructure stacks **❌ Missing Required:** CSM certification, Practical Scrum Master experience, Jira (Kanban) experience, Agile metrics / OKRs (explicit tracking and reporting)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong background in infrastructure, automation, Linux, Terraform, Git and CI/CD with clear ability to build complex systems, but missing hands-on experience with core stack items like Kubernetes, GCP, multi-cloud production environments and observability tools required for a senior cloud infra role. **⚠️ Critical Gaps:** - Kubernetes (advanced cluster management, deployments, Helm) - Google Cloud Platform (GCP) as primary cloud - Advanced observability stack (Datadog/Prometheus/Grafana) in production - VMware-based hybrid/on-prem infrastructure experience **✅ Strengths:** - Arquitetura e automação de infraestrutura com Docker, Terraform, Linux e Git - Experiência sólida em Python, SQL e scripting para automação de backoffice, logística e trading algorítmico - Histórico de construção de sistemas complexos fim a fim (e-commerce JIT, clusters de IA locais) com foco em resiliência e automação **❌ Missing Required:** Kubernetes (gestão de clusters, deployments, Helm), Domínio em Google Cloud Platform (GCP), Conhecimentos em Azure, Conhecimentos avançados em AWS (além de noções básicas), Administração de Windows Server, Vivência em ambientes VMware, Conhecimento avançado em observabilidade com Datadog, Conhecimento avançado em observabilidade com Prometheus, Conhecimento avançado em observabilidade com Grafana

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Perfil forte em Linux, automação, Docker, Terraform e Python para infraestrutura, com boa senioridade e experiência construindo sistemas produtivos, mas sem evidência clara de Kubernetes/orquestração em larga escala, observabilidade madura, CDN/WAF e operação de plataformas web de alta disponibilidade como as descritas. **⚠️ Critical Gaps:** - Kubernetes e orquestração de containers em produção - Stack de observabilidade e monitoramento estruturado para centenas de serviços - CDN e WAF para proteção e performance de aplicações web em larga escala - Operar infra de alta disponibilidade e alta escalabilidade para dezenas de milhões de usuários - Gestão de servidores de jogos (especialmente CS2) em ambiente de produção **✅ Strengths:** - Sólida base em Linux, Docker e automação de servidores - Experiência com Terraform e mentalidade DevOps/infra as code - Forte domínio de Python e scripting aplicado a operações, logística e sistemas de produção **❌ Missing Required:** Experiência sólida com observabilidade e monitoramento de aplicações em produção, Experiência sólida com clusters Docker e orquestradores (Kubernetes, Swarm), Experiência sólida com CDN, Experiência sólida com WAF, Experiência sólida em gestão de ambientes para aplicações web de alta disponibilidade, Conhecimento prático em arquitetura de filas e programação assíncrona, Administração prática de DNS e redes em ambientes Unix, Operação de AWS em ambiente de grande escala com muitos serviços

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em gestão de projetos de tecnologia, integração de equipes e entrega de sistemas complexos. Demonstra domínio em metodologias ágeis (embora não cite Scrum/Kanban explicitamente), gestão de projetos, automação e comunicação entre áreas técnicas e de negócio. A principal lacuna é a ausência direta de Notion e menção explícita a Scrum/Kanban, mas a experiência e perfil sugerem rápida adaptação. **✅ Strengths:** - Gestão de Projetos de Tecnologia - Automação e Integração de Sistemas - Comunicação entre áreas técnicas e de negócio **❌ Missing Required:** Scrum, Kanban

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional match, demonstrating strong technical leadership, deep expertise in AI infrastructure (including LLM deployment), and extensive experience in automation and robust system design (CI/CD, security). Their career trajectory and 'fast learner' attributes further enhance their suitability, aligning well with the role's focus on quality in digital transformation and new technologies. **✅ Strengths:** - AI Infrastructure & LLM Deployment - Automated System Design & Implementation (JIT, CI/CD) - Technical Leadership & Project Management

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong transferable skills in organization, time management, and communication, along with a proven ability to learn quickly. However, there is a significant mismatch between their extensive background in technical architecture and systems engineering and the core requirements of an administrative Virtual Assistant role. Their experience does not directly align with essential day-to-day administrative duties like specific calendar management or candidate screening. **⚠️ Critical Gaps:** - Core Role Mismatch (Technical Architect/Engineer vs. Virtual Assistant) **✅ Strengths:** - Demonstrated strong organizational and time-management skills - Proven ability to handle multiple tasks and prioritize effectively - Extensive experience with independent and likely remote work **❌ Missing Required:** Previous experience as a Virtual Assistant or in an administrative support role, Basic understanding of day-to-day Virtual Assistant administrative processes, Manage and maintain calendars, including scheduling and coordinating appointments, Assist with screening candidates and organizing applicant information

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infrastructure, Python/SQL, Linux and automation background shows high fast‑learner potential for a support role, but several core enterprise support technologies (Windows/PowerShell, Java app servers, Jenkins, Oracle/Sybase, MQ, enterprise monitoring and ITIL) are not demonstrated and reduce immediate fit for Tier1/2 at a bank. **⚠️ Critical Gaps:** - Windows administration + PowerShell/Batch (operations domain mismatch) - Tomcat/JBoss + Java (middleware/app-server domain) - MQ Series + Oracle/Sybase (enterprise integration/datastore domain) - Enterprise monitoring (Dynatrace) and formal ITIL experience **✅ Strengths:** - Proven systems architect who builds production automation and self-hosted infrastructure - Strong Python + SQL automation skills and experience with CI/CD concepts - Linux, Docker, Terraform and hands-on infrastructure troubleshooting **❌ Missing Required:** Windows OS configuration / administration, PowerShell and Windows batch scripting, Tomcat or JBoss administration, Jenkins experience (creating/configuring pipelines/jobs), Experience with Sybase or Oracle (stored procedures / dialects), MQ Series (message-queue middleware), Experience with enterprise monitoring tools (e.g., Dynatrace), ITIL foundation (or explicit knowledge/certification), Demonstrated Tier1/2 support team experience

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile with extensive experience in Python, SQL, and building automated, production-grade data systems, directly addressing core data pipeline requirements. The 'Fast Learner' bonus and relevant career trajectory further enhance the match. The primary gap is the lack of explicit Spark/PySpark experience, which is a key technical requirement for the role. **✅ Strengths:** - Strong Python, SQL, and Pandas experience applied to complex data systems. - Proven track record of building and optimizing automated, end-to-end data pipelines. - Exceptional 'Fast Learner' with a relevant career trajectory and strong business acumen. **❌ Missing Required:** Spark, PySpark

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's strong background is in technical architecture, AI infrastructure, and software development, demonstrating deep technical expertise. However, the role requires an Agile Delivery Manager focused on coaching Scrum Masters and Product Owners within agile frameworks, representing a fundamental mismatch in domain and core responsibilities. The candidate lacks explicit experience and certifications in agile team leadership and process management. **⚠️ Critical Gaps:** - Agile Delivery Management (coaching Scrum Masters/Product Owners, agile frameworks, ceremonies) as core domain expertise. **✅ Strengths:** - Exceptional Fast Learner - Strong Technical Architecture & AI Infrastructure Expertise - Proven Analytical & Problem-Solving Capabilities **❌ Missing Required:** Agility Certifications (CSM, PSM, CSPO, PSPO), Experience accompanying multiple teams and agile professionals, Solid knowledge in agile practices, frameworks, and metrics

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents strong foundational skills in core DevOps areas like Python, Shell scripting, Git, Docker, Terraform, and Infrastructure as Code, coupled with extensive practical experience in automation and building robust production systems. While specific tools such as Kubernetes, SonarQube, Prometheus, and Grafana are not explicitly mentioned, the candidate's proven fast-learner ability and deep understanding of CI/CD and system architecture suggest high adaptability. Their career trajectory strongly aligns with the technical demands of the role, making them a very promising candidate. **✅ Strengths:** - Strong proficiency and practical application in Python, Shell Scripting, Git, Docker, Terraform, and Infrastructure as Code. - Extensive experience in designing and implementing automated production systems, CI/CD concepts, and robust systems architecture. - Demonstrated fast-learner aptitude with a career trajectory perfectly aligned towards advanced technical and AI infrastructure roles. **❌ Missing Required:** YAML, Kubernetes, SonarQube, Prometheus, Grafana

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Perfil técnico forte em Python, SQL, automação e integração de sistemas, alinhado ao foco em mapeamento de processos, RPA e IA básica, mas com lacunas em ferramentas de BI (Power BI/Tableau) e ferramentas jurídicas especializadas. **⚠️ Critical Gaps:** - Ferramentas jurídicas múltiplas (legal tech, softwares de gestão jurídica) - Experiência prévia com processos e operação de departamentos jurídicos **✅ Strengths:** - Domínio de Python e automação de processos complexos de negócio - Experiência sólida com SQL e análise de dados aplicada (supply chain, trading, inventário) - Capacidade de integrar sistemas e APIs para criar fluxos de trabalho de ponta a ponta **❌ Missing Required:** Power BI ou Tableau em nível avançado, Ferramentas jurídicas múltiplas (legal tech, softwares de gestão jurídica), Experiência explícita com RPA em ferramentas dedicadas (UiPath, Automation Anywhere, Power Automate, etc.)

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: claude-sonnet-4.5] Strong technical match with excellent infrastructure foundation. Candidate is significantly overqualified for a Junior role - brings 10+ years of systems architecture, automation, and production deployment experience. Has demonstrated hands-on infrastructure skills (Docker, Terraform, Linux, AWS), strong Python scripting abilities, and proven track record building self-sustaining systems. The 'Junior' level is the main mismatch - candidate operates at Senior/Architect level. However, for infrastructure monitoring, server maintenance, and documentation (core Junior responsibilities), candidate is exceptionally qualified. **✅ Strengths:** - Production infrastructure experience: Built and maintained automated systems with 95%+ uptime, demonstrating server monitoring and high availability skills - Automation expertise: Strong Python scripting, CI/CD pipelines, and infrastructure-as-code (Terraform) - directly applicable to process automation responsibilities - Self-hosted infrastructure: Managed local AI clusters, Docker environments, and Linux systems - perfect match for on-premise infrastructure focus

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-5-mini] Strong fit on supply-chain analytics, JIT systems, Excel/SQL and data-driven decision support; proven leadership and fast-learning infrastructure/automation background reduces ramp time. Main gaps are BI/GIS and transportation-network modeling tools which are learnable given the candidate's hands-on systems and analytics experience. **✅ Strengths:** - Deep domain expertise in supply chain, JIT and inventory optimization - Strong data/automation skills (Python, SQL, Excel) enabling custom dashboards and reports - Proven architect/engineering leadership and fast practical learning of new infra/AI tooling

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong background in procurement, supply chain, and project management, bolstered by recent experience in automated logistics and system architecture. They demonstrate excellent analytical, negotiation, and problem-solving skills, with a proven fast-learner trait. However, a critical lack of direct experience in FTTx projects, a core requirement for this role, results in disqualification despite other strong matches. **⚠️ Critical Gaps:** - Vivência em projetos de FTTx **✅ Strengths:** - Strong foundation in Procurement, Supply Chain Analytics, and automated logistics systems. - Demonstrated expertise in project management, system architecture, and integrating technical solutions. - Exceptional analytical, negotiation, and problem-solving skills with a strong fast-learner record. **❌ Missing Required:** Vivência em projetos de FTTx

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Formação em Mecatrônica, forte experiência em supply chain/logística e automação de sistemas o alinham bem ao contexto do Mercado Envios, mas faltam evidências concretas de atuação com PLCs, redes de controle industrial e comissionamento de equipamentos intralogísticos complexos exigidos para liderança técnica em automação. **⚠️ Critical Gaps:** - Experiência prática com PLCs industriais (Siemens/Rockwell) em chão de fábrica - Experiência em comissionamento e testes de equipamentos de automação intralogística de alta complexidade - Domínio de redes de controle industrial (ASi, Profinet, industrial Ethernet) em ambiente OT - Leitura e validação de desenhos elétricos e diagramas de controle para projetos de automação **✅ Strengths:** - Forte domínio de supply chain, JIT e operações logísticas aplicado a e-commerce - Experiência robusta em automação com Python, integrações de sistemas e infraestrutura de TI - Perfil empreendedor com histórico de liderar projetos complexos de forma autônoma do conceito à operação **❌ Missing Required:** Redes de controle industrial (ASi, Profinet, industrial Ethernet), Google Workspace

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] The candidate has strong technical architecture and systems experience with demonstrated leadership and business analysis skills from Supply Chain/Finance domains. However, this is a Business Analyst/Requirements Analyst role requiring specific BA methodologies, tools (Azure Boards), and documentation skills that are not evidenced in the resume. The candidate's background is heavily engineering/infrastructure-focused rather than requirements gathering/product ownership-focused. The role requires fluent English (candidate has it) and agile experience (partially inferred). Critical gap: no demonstrated experience with requirements elicitation techniques, user story writing, functional specifications, or BA tools. **⚠️ Critical Gaps:** - No demonstrated Business Analysis or Requirements Engineering experience - No evidence of requirements management tools usage - No background in formal requirements documentation or specification - Role is focused on BA/Product Owner activities, not system architecture or infrastructure **✅ Strengths:** - Fluent English - meets critical requirement for international client communication - Strong business analysis background from Supply Chain and Finance domains with proven ability to translate business needs into technical solutions - Demonstrated systems thinking and end-to-end solution design (JIT inventory system, trading bots) shows product-oriented mindset **❌ Missing Required:** Azure Boards or similar requirements management tools, Formal requirements elicitation techniques, Functional specification writing, User story elaboration, Backlog management experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infra and automation background (Terraform, Docker, Linux, CI/CD-general, production self-hosted clusters) and clear fast-learning/product delivery evidence, but lacks explicit Kubernetes/Helm and GitHub Actions experience which are core to the role. **⚠️ Critical Gaps:** - Kubernetes - Helm Charts - GitHub Actions **✅ Strengths:** - Infrastructure as Code (Terraform) and Linux-based ops - Deployment automation and building/operating self-hosted AI clusters - Strong automation/dev tooling with Python and CI/CD practices **❌ Missing Required:** Helm Charts, Kubernetes, GitHub Actions

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, Linux, and general infrastructure troubleshooting, demonstrating a 'fast learner' ability to quickly adapt to new technologies. However, direct experience with the specific proprietary systems (Sankhya W) and application server (WildFly 'do SkW') mentioned in the job description is missing, which impacts the score. Their deep Python, SQL, and CI/CD skills, along with a relevant career trajectory, make them a good fit for a cloud infrastructure role, assuming they can quickly ramp up on the specific tools. **✅ Strengths:** - Strong Systems Architecture and Cloud Infrastructure experience (Linux, Docker, Terraform, AWS basics) - Demonstrated Fast Learner ability with a clear career trajectory towards technical/AI roles - Proficient in Python, SQL (Postgres/MySQL), Shell Scripting, and CI/CD pipelines **❌ Missing Required:** Experiência intermediária em suporte, instalação e troubleshooting do Sankhya W (SkW)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Forte aderência em arquitetura de sistemas, automação e IA (LLMs auto-hospedados), mas com lacunas visíveis em experiência comprovada de AWS enterprise, certificação AWS e stack moderna de microsserviços/eventos típica de um grande banco. **✅ Strengths:** - Solution and systems architecture focused on automation and ROI (JIT inventory, self-hosted IA infra) - Strong Python and data/quant background (trading bots, analytics, Pandas/NumPy) - Infrastructure and DevOps capabilities (Docker, Terraform, Linux, CI/CD, Git/GitHub) **❌ Missing Required:** AWS certification, Advanced hands-on experience with AWS cloud computing, Microservices architecture experience, Event-driven architecture experience, Experience with messaging platforms for event streaming/queuing

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong technical PMO-adjacent background with proven project delivery, systems integration and analytical experience; lacks explicit hands-on experience with several named agile tools and an explicit 'advanced Excel' claim but demonstrates high fast‑learner potential and relevant transferable skills. **✅ Strengths:** - End-to-end systems architecture and integration experience - Strong analytical background (supply chain, quantitative finance) for KPI-driven reporting - Technical fluency (Dev/Infra) enabling cross-team coordination with engineering **❌ Missing Required:** Scrum, Kanban, Jira, Trello, MS Project, Excel (advanced)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4] Strong systems architecture and automation background with proven ability to build end-to-end operational systems. However, significant gaps in Revenue Operations domain expertise and mandatory HubSpot proficiency. Geographic location (Brazil eligibility) is positive, but lacks specific SaaS/GTM operations experience. **⚠️ Critical Gaps:** - HubSpot proficiency (mandatory requirement) - Revenue/Sales Operations experience (7-10 years required) **✅ Strengths:** - Systems automation expertise - End-to-end process design - High autonomy and ownership mindset **❌ Missing Required:** HubSpot advanced expertise, Revenue Operations background, Sales pipeline design, Commercial workflow management

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong Python skills, experience in data modeling, and robust data integration capabilities from diverse projects. Their extensive background in Supply Chain and Logistics is highly relevant to the company's domain, and they demonstrate a powerful 'fast learner' ability. However, the lack of direct experience with the Azure data ecosystem (Data Factory, Data Lake, SQL Server) and Power BI creates notable gaps for this role. **⚠️ Critical Gaps:** - Direct experience with Azure data engineering environment **✅ Strengths:** - Proven ability to develop and automate data pipelines with Python. - Strong transferable domain expertise in Supply Chain and Logistics. - Demonstrated fast learning ability and continuous technical progression. **❌ Missing Required:** Power BI for data consumption and visualization

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional Python and AI infrastructure experience, aligning perfectly with the role's focus on modernizing applications and cloud development, especially given their proven ability to build scalable systems. The primary drawback is the lack of Azure experience, but strong AWS and continuous learning mitigate this, making them a very strong technical fit. **✅ Strengths:** - Deep Python expertise with hands-on application in complex systems. - Extensive experience with AI infrastructure, particularly self-hosted LLMs. - Proven ability to architect and deploy scalable, cloud-based applications. **❌ Missing Required:** Azure

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong foundational technical skills (Python, SQL, Docker, CI/CD, Git, APIs) and highly relevant domain expertise in supply chain and automation, indicating a fast learner with a strong career trajectory. However, the absence of core technologies like .NET (C#) and Blazor presents critical gaps for a Senior .NET Developer role. While many transferable skills exist, the fundamental technology stack mismatch significantly impacts suitability. **⚠️ Critical Gaps:** - .NET (C#) - Blazor **✅ Strengths:** - Strong foundation in general software engineering practices (CI/CD, Docker, Git, APIs) and a proven fast learner with a strong career trajectory. - Extensive experience in automation and AI infrastructure. - Highly relevant domain expertise in Supply Chain and JIT systems. **❌ Missing Required:** Messaging and asynchronous processing (Kafka), SQL Server

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong project management, leadership, and technical skills, particularly in automation and AI infrastructure. However, there is a fundamental mismatch in core domain requirements, as the candidate lacks a Civil Engineering degree and specific experience in managing architectural and structural building projects. The career trajectory also diverges significantly from the job's focus. **⚠️ Critical Gaps:** - Formação em Engenharia Civil - Experiência em gerenciamento de projetos de edificações com ênfase em estruturas (10+ anos) **✅ Strengths:** - Forte experiência em Gestão de Projetos e Liderança de Equipes - Proficiência em tecnologias de automação e infraestrutura de IA - Habilidades robustas de comunicação e resolução de problemas - Capacidade demonstrada de aprendizado rápido e auto-aperfeiçoamento - Fluência em Inglês (C2 Certified) **❌ Missing Required:** AutoCAD, Revit, SketchUp, BIM

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate possesses strong technical, organizational, and learning abilities, and meets language requirements. However, there is a critical mismatch in the core professional domain, as the candidate's extensive background is in technical architecture and AI infrastructure, not administrative virtual assistant roles, leading to a significant deduction. While many transferable skills are present, their application context differs substantially from the job's administrative focus. **⚠️ Critical Gaps:** - Previous experience as a Virtual Assistant or in an administrative support role **✅ Strengths:** - Excellent English communication (C2 Certified) - Proficiency with basic office productivity tools (Microsoft Office Suite) - Exceptional learning agility and ability to adapt to new technologies **❌ Missing Required:** Basic understanding of administrative processes (in a Virtual Assistant context)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional match, demonstrating deep and highly relevant experience in systems architecture, process automation, project management, and information security, all directly applicable to optimizing terminal operations. Their strong background in Supply Chain Analytics and JIT systems provides critical domain expertise for this role. The proven 'fast learner' trait further enhances their adaptability. **✅ Strengths:** - Highly relevant Supply Chain and JIT Systems domain expertise. - Extensive experience in process automation, systems architecture, and API integrations. - Demonstrated proficiency in project management, requirements gathering, and security protocols.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional background in operations and project management, marked by successful implementation of autonomous systems and a decade of connecting business goals with technical infrastructure. Their analytical acumen, coupled with a 'fast learner' trajectory and relevant domain expertise, strongly aligns with the job's demands for organization, resource optimization, and integrated operational vision. **✅ Strengths:** - Extensive and well-demonstrated experience in operations and project management, including system design and optimization. - Strong analytical and strategic vision, supported by a diverse background in finance, supply chain, and technical architecture. - Proven 'fast learner' with a track record of building complex systems from scratch and continuous self-education.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato demonstra forte experiência em arquitetura de sistemas, automação, Python, SQL, infraestrutura local e fundamentos de cloud, além de liderança técnica. No entanto, faltam menções explícitas a Databricks, Spark, Azure, orquestradores de dados (Airflow/Datafactory), e Big Data streaming (Kafka/Flink), que são requisitos críticos para a vaga. A base técnica é sólida e o perfil de aprendizado rápido é evidente, mas há lacunas em ferramentas específicas do ecossistema moderno de dados. **⚠️ Critical Gaps:** - Databricks - Spark - Azure - Airflow/Datafactory (orchestration) **✅ Strengths:** - Python & Automation - SQL & Data Analysis - Technical Leadership & Architecture **❌ Missing Required:** Databricks, Spark, Azure, Airflow/Datafactory