Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [3-Flash] The candidate has a perfect domain match in Supply Chain and ERP (TOTVS) automation, which is the core business of Whirlpool. While there is a tool-specific gap (UiPath), the 'Automation Developer' requirements are semantically met by the candidate's extensive Python, Go, and Puppeteer automation history. The score is capped due to the missing required specific technology (UiPath). **Strengths:** Supply Chain & ERP (TOTVS) domain expertise, Technical-Business Partner profile, Robust automation and logic design (SDD/PDD equivalent experience) **Missing Required:** UiPath experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] ATS finds partial matches: Docker (present), data pipelines (candidate built data pipelines), Python/automation experience. However, missing Apache Kafka (required, specific technology), no explicit DevOps title history, 3+ years Data DevOps required but candidate titles are Financial Analyst/Supply Chain Planner. PostgreSQL provides SQL familiarity but not Kafka streaming. **Strengths:** Docker experience, Data pipeline design, AWS fundamentals, Automation expertise **Critical Gaps:** 3+ years Data DevOps title/experience - candidate has 0 years with DevOps title **Missing Required:** Apache Kafka proficiency, 3+ years Data DevOps experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] ATS finds moderate matches: Node.js/TypeScript (candidate has JavaScript/Node.js), Python, PostgreSQL (SQL/NoSQL), Docker, CI/CD experience, AWS fundamentals. Missing: 5-8+ years SE experience (candidate has 0 years with SE title), CS degree (candidate has Mechatronics - ATS may not recognize equivalence), Kubernetes (not explicitly listed). Secure coding and frontend frameworks are weak areas. **Strengths:** Node.js/JavaScript, Python, SQL/PostgreSQL, Docker, CI/CD, AWS, Systems architecture thinking **Critical Gaps:** 5-8+ years software engineering experience - 0 years with SE title, Bachelor's degree in Computer Science - has Mechatronics Engineering **Missing Required:** 5-8+ years SE experience, CS degree (ATS filter), Kubernetes

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Complete domain mismatch. Role requires 5+ years Dynamics 365 Finance & Operations development, X++, D365 ERP expertise, Microsoft Lifecycle Services. Candidate has zero Microsoft Dynamics experience, zero X++ knowledge, zero ERP development experience. The TOTVS ERP mentioned in resume is a completely different system and was used operationally, not as a developer. **Strengths:** C# is learnable, SQL knowledge, ERP operational familiarity (different system) **Critical Gaps:** 5+ years Dynamics 365 F&O development - 0 years, X++ programming - never used, D365 ERP expertise - none **Missing Required:** Dynamics 365 F&O experience, X++ proficiency, C# for D365, Power Platform

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Specialized Blue Prism RPA role requiring Blue Prism Certified Developer accreditation (mandatory), 3+ years software development, .NET or Python, and ideally hands-on Blue Prism experience. Candidate has Python but zero Blue Prism experience, no Blue Prism certification (mandatory requirement), and no RPA background. The certification is a hard requirement. **Strengths:** Python, API integration knowledge, Client consulting experience **Critical Gaps:** Blue Prism Certified Developer accreditation - mandatory, not held, Blue Prism development experience - none **Missing Required:** Blue Prism Certified Developer (mandatory), Blue Prism hands-on experience, .NET proficiency, Spanish language (mandatory per JD)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Requires Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate (stated as 'mandatory and up to date, with annual renewal'), plus strong D365 F&O development experience, Azure Data Factory, Microsoft Lifecycle Services. Candidate has zero Microsoft Dynamics experience, no D365 certification, no Azure Data Factory experience. **Strengths:** SQL knowledge, Problem-solving skills **Critical Gaps:** D365 F&O Developer Associate certification - mandatory, not held, D365 F&O development experience - none **Missing Required:** Microsoft Certified D365 F&O Developer Associate (mandatory), D365 F&O development, Azure Data Factory, LCS

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Best match so far. ATS finds: Go (candidate built production systems in Go), Python, cloud experience (AWS fundamentals), Docker, Kubernetes mentioned in candidate's stack context. Missing: Java is an alternative so Go suffices, but Istio, IAM deep expertise, Envoy, ArgoCD, Helm, PKI are not explicitly demonstrated. The JD is flexible ('any stack is good for us') which helps. **Strengths:** Go (production experience), Python, Docker, Kubernetes context, AWS fundamentals, DevOps/automation mindset

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Same as Job 2 (EPAM duplicate posting). ATS finds partial matches: Docker, data pipelines, Python/automation. Missing Apache Kafka (required), no DevOps title, 3+ years Data DevOps required. Title mismatch severe. **Strengths:** Docker experience, Data pipeline design, AWS fundamentals, Automation expertise **Critical Gaps:** 3+ years Data DevOps title/experience - 0 years DevOps title **Missing Required:** Apache Kafka proficiency, 3+ years Data DevOps experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS sees a severe mismatch between the FreeBSD kernel/C/x86 performance monitoring focus and the candidate’s application-level Go/Python/Linux automation background. Only general systems thinking and Linux experience align weakly with the role, while every core must‑have (FreeBSD internals, C, x86 microarchitecture, PMC tooling) is absent. This yields a very low score capped further by critical gaps. **Strengths:** Solid Linux and systems-level background relevant to Unix-like environments, Proven ability to design lightweight, performance-aware automation and monitoring systems, Strong English communication and documentation skills suitable for upstream collaboration **Critical Gaps:** No demonstrated FreeBSD kernel architecture or internals experience for a kernel-focused role, No C programming or x86 microarchitecture/performance monitoring background, No experience with FreeBSD PMC framework components (hwmon, libpmc, pmcstat) **Missing Required:** Strong knowledge of FreeBSD kernel architecture and internals, Excellent C programming skills, Strong understanding of x86 microarchitecture, Very good knowledge of performance monitoring on modern x86 systems

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS sees strong signals in containers, CI/CD, cloud and automation, but almost none of the specific DevOps stack the JD emphasizes (Kubernetes, Terraform, Argo CD, GitLab CI, Datadog/New Relic/Dynatrace). The resume shows real-world systems and infra work, yet key required tools are missing explicitly so the ATS assigns deductions and caps the score. Overall it lands as a low-to-mid match dominated by missing required hard skills. **Strengths:** Hands-on containerization and Docker use in production-like environments, Proven CI/CD and automation mindset for end-to-end systems, Cloud-hosted, resource-constrained infrastructure design with strong systems thinking **Missing Required:** Kubernetes production experience, Terraform or equivalent infrastructure as code, GitOps with Argo CD, Observability tooling such as Datadog, New Relic or Dynatrace, GitLab CI-specific experience integrating with Kubernetes and managing releases

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS detects good overlap on backend development, SQL databases, and data-intensive problem solving, but the stack is explicitly C#/.NET and that is missing. The candidate’s experience building full products and data-heavy systems helps infer some relevant R&D capability, yet the lack of any .NET history is a major required-skill gap. This produces a mid-range score capped by missing required skills. **Strengths:** Strong SQL and relational data modeling experience, Proven ability to build end-to-end commercial-grade systems from scratch, History of working autonomously in low-meeting, high-output remote environments **Missing Required:** 5+ years of C# and .NET Core experience, Documented 8+ years as a Software Engineer in the IT industry using the required stack

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This role is centered on deep Microsoft Power Platform (Power Apps, Power Automate, Power BI, Fabric, Graph, SharePoint) expertise, none of which appears on the resume. ATS may give minor credit for SQL, automation, and analytics exposure, but the platform-specific requirements dominate scoring. Multiple core skills are missing, creating critical domain gaps. **Strengths:** Solid SQL and data modeling background, Extensive experience designing automation and workflow solutions using non-Microsoft stacks, Strong stakeholder communication skills bridging business and technical teams **Critical Gaps:** No Microsoft Power Platform (Power Apps, Power Automate, Power BI) experience listed, No exposure to Microsoft Fabric, Graph API, or SharePoint Online despite being central to the role **Missing Required:** Advanced Power Apps (canvas and model-driven) development experience, Enterprise-grade Power Automate workflow design and orchestration, Power BI data modeling, DAX, and dashboard development, Experience with Microsoft Fabric or equivalent data lakehouse/pipeline platforms, Strong experience with Microsoft Graph API, Strong experience with SharePoint Online as an integration and data backend, Strong understanding of Power Platform governance

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] ATS sees solid overlap on automation, data pipelines, Docker, Linux, and SQL, which align well with a Data DevOps profile. However, explicit experience with Apache Kafka and strong AWS/cloud usage are missing, so several must-haves are not clearly satisfied. The result is a decent but capped score due to missing required technologies. **Strengths:** Strong Docker and containerization experience for running services efficiently, Proven history designing and operating data/AI pipelines and orchestrators on constrained infrastructure, Deep automation mindset focused on reliability and low operational overhead **Missing Required:** Proficiency in data pipeline tools such as Apache Kafka or equivalent streaming technologies, Hands-on experience with cloud services such as Amazon Web Services in production

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] ATS picks up Python, SQL, automation, and complex algorithmic work, which fit parts of this Senior Python Developer role. However, Django, microservices, cloud deployment, NoSQL databases, and strong testing practices are explicitly required and not clearly demonstrated. These missing required skills pull the score into the lower-middle band. **Strengths:** Significant experience designing and implementing complex automation and data-processing systems, Proven ability to design algorithms and control-inspired logic (e.g., trading strategies, PID-like prompt tuning), End-to-end ownership of production platforms and mentoring/leadership responsibilities **Missing Required:** 5+ years of hands-on Python and Django development, Experience with microservices architectures in cloud environments, Experience with NoSQL databases, Experience with automated tests, CI/CD pipelines, and code coverage in Python projects

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS will immediately filter this profile due to missing mandatory Blue Prism certifications and lack of Spanish language proficiency. The resume shows no RPA/Blue Prism experience at all, while the role is built around that ecosystem. Despite strong automation and consulting skills, platform and language hard filters dominate. **Strengths:** Strong automation and systems design experience using Python, Go, and other tools, Consultative background translating business needs into technical designs, Proven ability to mentor and enable teams in automation-heavy environments **Critical Gaps:** No experience with Blue Prism or any RPA platform despite role being centered on it, No evidence of Spanish fluency in a role requiring trilingual (English, Spanish, Portuguese) communication **Missing Required:** Blue Prism Certified Developer accreditation, Spanish language fluency, Experience leading or significantly contributing to large Blue Prism implementations

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The resume aligns well with system architecture, Docker, CI/CD, Git and security concepts, but it lacks any explicit C#/.NET experience, which is the core of this role. Because the JD centers on deep .NET expertise and TDD/BDD plus IaC, the absence of C#/.NET keywords is treated as a critical stack gap despite strong transferable architecture skills. ATS therefore applies heavy penalties and caps the score, resulting in a low overall match. **Strengths:** Robust systems and data architecture experience with real-world automation and reliability outcomes, Strong experience with Docker, CI/CD and Git in production contexts, Proven ability to translate complex business requirements into technical specifications and working systems **Critical Gaps:** Lack of any C#/.NET experience for a .NET-focused architect role **Missing Required:** Automated testing with TDD/BDD, Infrastructure as Code experience (e.g., Terraform, ARM, CloudFormation or similar)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] As with the other Senior Data DevOps listing, ATS will find solid alignment around automation, data pipelines, Docker, Linux, and collaborative work. Kafka and AWS/cloud experience are still not explicitly present, leaving important requirements unmet. This leads to a decent but capped score due to missing core tools. **Strengths:** Extensive experience automating and monitoring multi-step data and AI workflows, Strong Docker and Linux skills for containerized deployments, History of collaborating with cross-functional teams to improve data usability and accessibility **Missing Required:** Proficiency with data pipeline tools such as Apache Kafka or similar streaming platforms, Hands-on experience with cloud services like Amazon Web Services in production

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] ATS recognizes strong JavaScript experience, RESTful backend work, and SQL familiarity, but the role also requires .NET stack experience plus jQuery and Xamarin, none of which are present. General SQL and backend strengths help partially offset these gaps, yet core platform requirements remain unfulfilled. This places the profile in the mid-range with missing required stack elements. **Strengths:** 5+ years of JavaScript and Node/Go backend experience building real products, Strong SQL background and familiarity with relational databases, Experience mentoring, leading, and collaborating closely with stakeholders **Critical Gaps:** No .NET ecosystem experience despite full stack (JavaScript/.NET) requirement **Missing Required:** Experience working in a .NET stack, Experience working with jQuery in production systems, Experience with Xamarin for cross-platform development

[ANALYSIS_REPORT] **LOW** [Opencode: opencode:glm-5] ATS sees zero professional Infrastructure/SRE titles in work history—only Finance/Supply Chain roles. Missing three required hard skills (Terraform, Kubernetes, GitOps/ArgoCD) with no inference possible. AWS Fundamentals is far below the 3+ years hands-on depth required. Automation and systems architecture experience is strong but invisible to keyword-based filtering. **Strengths:** Production systems on Linux/Docker/PostgreSQL, Strong automation and systems architecture background, English C2 fluent **Critical Gaps:** No Infrastructure/Platform/SRE professional title ever held **Missing Required:** Terraform (4+ years), Kubernetes (3+ years), GitOps/ArgoCD (3+ years), 6+ years full-time Infrastructure/SRE experience

[ANALYSIS_REPORT] **LOW** [2.5-Pro] A pontuação é moderada. O candidato possui as habilidades fundamentais de Python, SQL e pipeline de dados, mas há uma lacuna crítica na plataforma de nuvem exigida (Azure), onde toda a experiência do candidato é em AWS e infraestrutura própria. A falta de experiência com Azure DataFactory e Databricks é uma desvantagem significativa para o ATS. **Strengths:** Python, SQL, Data Pipeline Architecture **Missing Required:** Azure DataFactory, Azure Databricks

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] A pontuação é boa, apesar de não ser excelente. O candidato atende aos requisitos fundamentais de Python, SQL avançado, arquitetura de dados e automação. A falta de experiência específica com as ferramentas de nuvem listadas (Azure Data Factory, Synapse) e dbt reduz a pontuação, mas os conceitos de arquitetura (Lakehouse, Data Mesh) são familiares. **Strengths:** Python, SQL Avançado, Arquitetura de Dados, Governança de Dados **Missing Required:** Azure Data Factory/Synapse/Fabric

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] A pontuação é alta porque a descrição do trabalho é genérica e focada em competências essenciais que o candidato possui. A vaga pede domínio de Python, SQL, ETL, modelagem de dados e experiência em nuvem (AWS, Azure ou GCP). O candidato tem experiência sólida em Python, SQL, ETL (inferido) e fundamentos de AWS, o que o torna um forte concorrente. **Strengths:** Python, SQL, Arquitetura de pipelines, Experiência com nuvem (AWS)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] A pontuação é muito baixa, atingindo o teto para 'critical_gaps'. A vaga exige experiência específica e prática com Azure Databricks e a ferramenta de modelagem Erwin Data Modeler, ambas ausentes no perfil do candidato. Atuar para 'um dos maiores bancos da América Latina' através de uma grande consultoria (CI&T) sugere um ambiente com pouca tolerância para lacunas em ferramentas-chave. **Strengths:** Python, SQL, Modelagem de Dados (conceitual) **Critical Gaps:** Azure Databricks, Erwin Data Modeler **Missing Required:** Azure Databricks, Erwin Data Modeler

[ANALYSIS_REPORT] **TOP** [2.5-Pro] A pontuação é excelente e limitada apenas pela ausência de uma ferramenta de BI específica. A vaga valoriza 'pensar arquitetura, governança e visão de longo prazo' em vez de apenas programar, o que se alinha perfeitamente com o perfil do candidato. Os requisitos de modelagem de dados, SQL, integração de sistemas e nuvem (AWS/GCP/Azure) são todos atendidos ou facilmente transferíveis. **Strengths:** Arquitetura de Dados, SQL avançado, Integração de sistemas, Visão de negócio e produto

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] A pontuação é limitada pelo teto de 'missing_required'. O candidato tem as habilidades principais (Python, SQL, AWS, arquitetura de DW/Lake), mas a vaga pede especificamente 'Databricks'. Esta é uma lacuna significativa, embora a experiência do candidato com sistemas distribuídos e otimização seja transferível. O requisito de formação em 'Engenharia' é atendido. **Strengths:** Python, SQL, Arquitetura de Data Lake/Warehouse, Foco em automação e confiabilidade **Missing Required:** Databricks