Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Candidate has SQL/PostgreSQL and strong systems acumen, but the role demands deep AWS RDS/Aurora performance tuning, execution plan analysis, and stored procedures. Lacks explicit hands-on RDS/Aurora optimization history. Architecture ownership evident but flavor-specific depth is missing. **Strengths:** Data integrity and validation rules, Constraint-based engineering mindset, Operational reliability focus **Missing Required:** Deep AWS RDS/Aurora expertise, Complex SQL performance tuning at scale

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Good AI systems experience, but the role demands MCP, Vercel AI SDK, deep TypeScript, and enterprise integrations like Salesforce. Candidate shows Node/JS and LLM ops but not MCP/Vercel SDK or Salesforce. Toolchain mismatch dominates. **Strengths:** LLM application orchestration, API-first mindset, Ownership and reliability focus **Missing Required:** Model Context Protocol (MCP), Vercel AI SDK, Salesforce integration

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Role is ServiceNow platform architecture across ITSM/ITOM/HRSD/WSD and integrations; candidate has no ServiceNow experience. Domain mismatch is critical despite strong systems background. ATS will not map skills cross-domain here. **Strengths:** General architecture and automation, Stakeholder translation **Critical Gaps:** ServiceNow platform architecture experience **Missing Required:** ServiceNow implementations (ITSM/ITOM etc.), ServiceNow custom app design/development

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has strong, demonstrated experience in hands-on data quality and data architecture, which aligns with parts of the role. However, the score is capped because the position is centered on formal 'Data Governance' using frameworks like DAMA/DMBOK and specific Microsoft tools (Fabric, Purview), which are all missing from the resume. The profile is more 'builder' than 'governor'. **Strengths:** Data Quality Remediation, Data Architecture, Data Integration Pipelines **Missing Required:** Formal Data Governance experience, Microsoft Fabric, Microsoft Purview

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Hybrid role requires availability in São Carlos/SP; candidate is Brazil-based but not explicitly in São Carlos and role is not remote. Geographic hard filter applies. Otherwise broad enterprise architecture alignment could be partial. **Strengths:** Cloud/data architecture mindset, Stakeholder communication **Missing Required:** Onsite/hybrid São Carlos presence

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The application is a non-starter. The role has mandatory requirements for a full Microsoft stack: Azure expertise, .NET specialization, Microsoft Copilot/Foundry, and specific Azure certifications (AZ-204, AZ-400). The candidate possesses none of these, leading to an immediate ATS auto-rejection. **Critical Gaps:** Lacks mandatory Azure experience, Lacks mandatory .NET experience, Lacks mandatory Microsoft AI suite experience **Missing Required:** Azure expertise, .NET/C#, Microsoft Copilot/Foundry, Azure Certifications (AZ-204, AZ-400)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The job has a hard requirement for both English and Spanish fluency. As the candidate does not speak Spanish, the ATS will apply a hard filter, resulting in an automatic rejection. No other skills are evaluated. **Critical Gaps:** Missing mandatory language requirement (Spanish) **Missing Required:** Spanish language

[ANALYSIS_REPORT] **TOP** [2.5-Pro] There is an exceptionally strong match between the candidate's demonstrated experience and the role's responsibilities. The job description is behavioral, focusing on translating business needs into architecture, which is exactly what the candidate's portfolio and resume describe. The skills in system design, integration, security, and technology selection align perfectly. **Strengths:** Business-to-Tech Translation, System Architecture & Design, Integration Patterns (API, Events), Pragmatic Technology Selection

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Role centers on SAP BDC/Datasphere/SAC/BW/4HANA with integrations to modern platforms; candidate has no SAP ecosystem experience. Strong data/architecture mindset but domain/tooling mismatch is substantial. ATS won’t infer equivalence here. **Strengths:** Data modeling and validation orientation, Stakeholder engagement **Critical Gaps:** SAP BDC/Datasphere/SAC/BW/4HANA experience **Missing Required:** SAP BDC, SAP Datasphere, SAP SAC, SAP BW/4HANA

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5] Candidate has automation, data modeling mindset, and integration experience, but lacks proven end-to-end HubSpot implementations. RevOps familiarity is partial, but platform-specific architecture depth is not evidenced. Good documentation and handoff habits align well. **Strengths:** Process automation and data cleanup/QA, Systems architecture and documentation discipline, Integration mindset (middleware familiarity) **Missing Required:** Proven end-to-end HubSpot implementations

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The candidate is a near-perfect technical match for this role, which explicitly accepts 'liderança técnica' in place of a formal architect title. The JD's focus on polyglot programming (Go, Python), cloud architecture, event-driven systems, and DevSecOps aligns directly with the candidate's core competencies and recent projects. Minor gaps in specific frameworks like Quarkus do not detract from the overall excellent fit. **Strengths:** Polyglot Programming (Go, Python), Cloud & Event-Driven Architecture, DevSecOps & Automation, Technical Leadership

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The role is for a Junior Architect, and the responsibilities listed—auxiliary design, organizing team tasks, supporting senior architects—are a good match for a candidate with strong hands-on skills looking to formalize an architect title. The candidate's practical knowledge of system design, APIs, and cloud concepts exceeds the junior-level requirements. The ATS score is high because the candidate is overqualified on technical skills. **Strengths:** Architectural Styles (Microservices, etc.), Cloud fundamentals, API concepts

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5] Solid SQL and data architecture mindset, but role requires Snowflake/Databricks Customer360, Golden Record identity resolution, and data quality frameworks at scale. Candidate lacks explicit Databricks/Snowflake and formal identity resolution implementations. Event streaming (Kafka) depth not shown. **Strengths:** Data remediation and governance instincts, Systems thinking with measurable outcomes, SQL fluency (PostgreSQL/SQLite) **Missing Required:** Databricks or Snowflake deep hands-on, Identity resolution/Golden Record design

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has a strong background in architecture, cloud (AWS), and building critical systems. However, the role is highly specialized in the 'pagamentos/adquirência' (payments/acquiring) domain, a field requiring specific knowledge of gateways, card networks, and PCI DSS compliance. This constitutes a critical gap, capping the ATS score severely. **Strengths:** End-to-end Solution Architecture, Cloud (AWS) and Microservices, Technical Leadership **Critical Gaps:** Lacks mandatory experience in payments/acquiring domain **Missing Required:** Pagamentos/adquirência, PCI DSS

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5] Strong fit for AI Solution Architect with generative AI, RAG, Python/LLM experience, evaluation rigor, and client-facing translation. Lacks explicit Microsoft Fabric/Azure depth, but overall architecture, ownership, and pre-sales-style communication are present. Recent work is highly relevant and production-grade. **Strengths:** Generative AI pipelines (RAG, embeddings, tool use), Evaluation rigor and metrics, Architecture leadership and stakeholder translation

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Candidate built a custom CMS and full site but lacks React and explicit MACH/headless CMS platform experience. Compliance/privacy and CDP integration experience are not shown. Systems architecture and API-first approaches are strengths. **Strengths:** Custom CMS built as a single binary with high performance, API-first and security-conscious engineering, Operational reliability and documentation **Missing Required:** React frontend expertise, Modern CMS platform experience (headless/traditional)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The ATS score is zero due to a hard filter. The role explicitly requires prior experience in the 'seguimento de óleo e gás' (oil and gas sector). The candidate's background is in finance, supply chain, and e-commerce, with no overlap into this specialized industrial sector. The application would be auto-rejected. **Critical Gaps:** Missing mandatory industry experience (Oil and Gas) **Missing Required:** Experiência prévia no seguimento de óleo e gás

[ANALYSIS_REPORT] **LOW** [Opencode: Ant:claude-haiku-4-5] Strong domain mismatch. JD requires Microsoft 365, Power Platform, and Exchange expertise. Candidate has infrastructure/automation background but zero M365 stack experience. No Power BI, Power Automate, or Copilot for M365 work history. On-site requirement (3 days/week Berrini, São Paulo) partially compatible but fundamentally wrong technical domain. **Strengths:** Infrastructure thinking, Automation mindset, Compliance/governance awareness from ERP work **Critical Gaps:** Microsoft ecosystem, Modern Work platform experience **Missing Required:** M365 solutions expertise, Office 365 migration experience

[ANALYSIS_REPORT] **TOP** [3-Flash] Strong domain match in Manufacturing and Supply Chain with 12+ years of relevant operational experience. ATS will favor keywords like 'Supply Chain', 'SQL', and 'Technical Lead', but will penalize the lack of a formal 'Software Engineer' or 'Solutions Architect' job title and the Mechatronics vs CS degree distinction. **Strengths:** Deep Supply Chain Domain Expertise, Technical implementation track record, SQL and Data Integrity experience

[ANALYSIS_REPORT] **HIGH** [3-Flash] Excellent alignment with the 'Supply Chain Planning' and 'AI-first' focus. ATS will recognize keywords for ETL, SQL, and mathematical modeling, though the requirement for a specific planning product (e.g., SAP, Blue Yonder) is a slight deduction. **Strengths:** Mathematical/Statistical modeling background, Supply Chain Planning expertise, End-to-end implementation experience

[ANALYSIS_REPORT] **LOW** [Opencode: Ant:claude-haiku-4-5] Moderate skill overlap on cloud/architecture thinking, but critical gaps in required expertise. Candidate has systems design and Go infrastructure work, but JD requires .NET/C# deep expertise, Azure-specific experience, and Kubernetes orchestration. No history with Azure, Kubernetes, or .NET ecosystem. Architecture thinking is present but not in the required stack. **Strengths:** Systems architecture thinking, Kubernetes equivalent concepts (orchestration mindset), Integration thinking from ERP work, Multi-system design experience **Critical Gaps:** Microsoft Azure required, .NET/C# required for system development **Missing Required:** Azure architecture expertise, .NET/C# application development, Healthcare domain knowledge

[ANALYSIS_REPORT] **MEDIUM** [Opencode: Ant:claude-haiku-4-5] Moderate match with notable gaps. Candidate demonstrates strong data pipeline thinking (market intelligence platform, inventory automation), but lacks GCP/BigQuery expertise and DBT-specific experience. SQL and Python proficiency present and demonstrated at scale. Missing specific tools (BigQuery, Dataflow, DBT) but core data engineering competencies (ETL design, Python, SQL optimization) are evident. Role targets senior-level; candidate has equivalent seniority but in different cloud platform. **Strengths:** SQL expertise demonstrated in ERP/inventory systems, Python pipeline development (market intelligence scorer), ETL/ELT thinking from e-commerce automation, Data quality and validation logic design, Consulting mindset and client-facing technical skills **Missing Required:** GCP platform experience, DBT data modeling framework

[ANALYSIS_REPORT] **MEDIUM** [Opencode: Ant:claude-haiku-4-5] Moderate match with strategic gaps. Candidate has Python, SQL, API design, and DevOps thinking. However, Azure-specific tools (Databricks, DevOps platform, API Gateway) are not in resume. Python and SQL demonstrated at production scale. Core competencies (pipeline development, API creation, data modeling, CI/CD concepts) present but in different cloud ecosystem (Go/PostgreSQL vs. Azure). Missing certifications and hands-on Azure experience are significant barriers for vendor-specific hiring. **Strengths:** Python proficiency for data engineering, SQL optimization and design, API design and implementation (OAuth/OIDC demonstrated), CI/CD and automation thinking, Data modeling and ETL pipeline architecture **Missing Required:** Azure Databricks hands-on experience

[ANALYSIS_REPORT] **MEDIUM** [Opencode: Ant:claude-haiku-4-5] Good conceptual match with execution gaps. Candidate demonstrates strong Python, SQL, data pipeline thinking, and has built LLM-integrated systems (Claude/Gemini API, prompt engineering). Notably, candidate has RAG and embedding experience, critical for this role. Missing GCP-specific tools (BigQuery, Dataflow, Pub/Sub) and DBT, but core data engineering skills are present. RAG/embedding work is a strong differentiator for this specific role focused on IA data prep. **Strengths:** RAG and embedding model experience (Claude, Gemini, HuggingFace), Python proficiency with LLM integration, SQL expertise and data pipeline design, IA/LLM pipeline thinking exactly matching role focus, Prompt engineering and AI data preparation **Missing Required:** GCP platform experience

[ANALYSIS_REPORT] **TOP** [Opencode: Ant:claude-haiku-4-5] Strong conceptual and practical match. JD requires data architecture, Python, SQL, API design, and consultative technical skills with ERP integration focus. Candidate has demonstrated all of these: Python used in production, SQL expertise from ERP work (TOTVS/Protheus), API design (OAuth/OIDC), and deep ERP/TOTVS domain knowledge. Missing tools (SAP, Oracle specific experience) but TOTVS is primary ERP mentioned. Architecture thinking, data integration mindset, and ability to speak to CTO/CIO level are core strengths. This role is pre-sales technical bridge—candidate's translator role in finance/supply chain aligns perfectly. **Strengths:** TOTVS/Protheus ERP expertise (primary JD ERP mentioned), SQL and data architecture thinking from 4000+ record saneamento, Python for integration and automation, API design (OAuth, middleware integration patterns), Consultative technical communication (finance mesa translator pattern proven), Multi-system data integration thinking, Business process understanding from supply chain and trading work