Software Engineer specializing in Backend Development, Process Automation, and Data Infrastructure. I architect scalable integrations using Python, JavaScript, and REST APIs, with a strong focus on production-ready code and system reliability (QA/SDET).
As a Computer Engineering student, I bridge the gap between complex business logic and high-performance automated workflows. With expertise in AWS Cloud, data pipelines, and a portfolio of over 40 professional certifications (including 14+ Google credentials), I am dedicated to engineering robust solutions that drive operational excellence at scale.
Software Engineer (Backend & Automation) — Loja do Sapo
September 2025 – Present
- Cloud & Backend Architecture: Lead architect for end-to-end automation and system integrations using Python and JavaScript, ensuring high availability and 100% functional integrity.
- API Engineering: Developing and maintaining high-scale REST API integrations (Google Cloud, Zoho, 3rd party services) for business-critical workflows.
- Infrastructure Ownership: Technical owner for backend applications and server stability, monitoring performance and optimizing system execution.
- Data Engineering: Architecting advanced data pipelines and KPI dashboards (Looker Studio) to drive executive-level decision-making.
Software Developer (Data & Workflows) October 2024 – August 2025
- Process Engineering: Implemented complex business rules and automated workflows using Python and Deluge to eliminate operational bottlenecks.
- Business Intelligence: Built data architectures for real-time reporting, ensuring accuracy of operational metrics and data consistency.
Software Engineer (Systems Integration) — iCaiu
March 2025 – Present
- System Interoperability: Engineered backend communication layers and API-based integrations to optimize data processing across platforms.
- Quality Engineering (QA/SDET): Performing rigorous functional testing and API debugging to resolve complex bottlenecks in automation features.
- Cloud Foundations: Leveraging AWS fundamentals to support and scale backend infrastructures for operational technology.
Operations & Tech Support Specialist — WR Auto Peças
November 2015 – February 2026
- Process Automation: Developed custom Python tools to automate administrative tasks and data management, significantly reducing manual effort.
- Systems Administration: Managed fiscal and operational systems, ensuring technical compliance and data integrity over a 10-year tenure.
- Web Development: Maintained the company’s institutional web presence and internal digital tools using HTML/CSS.
- Languages: Python, JavaScript, SQL, Deluge
- Technical Base: C#, Java, C++, OOP, Data Structures
- Integrations: REST APIs, API Design, Webhooks, Third-Party Services
- Quality: Functional Testing, SDET, Process Automation (n8n, Zoho)
- Cloud: AWS (EC2, S3, Lambda), Cloud Engineering, Serverless
- Systems: Linux Administration, Shell Scripting, Docker, Webhooks
- AI: Generative AI, Prompt Engineering, Intelligent Automation
- Low-Level: Data Structures, Computer Architecture, C/C++ (Academic)
- BI: Looker Studio, Power BI, KPI Dashboards
- Engineering: Data Pipelines, ETL, PostgreSQL, SQL Optimization
Professional Certifications (40+ Credentials)
- Google AI Essentials: Strategic AI Implementation, Data Synthesis, and Responsible AI.
- Google Prompting Essentials: Advanced Prompt Engineering, Operational Efficiency, and AI-Driven Data Analysis.
- Specialized AI Partner: Using AI as a Creative/Expert Partner & Designing Prompts for Work Tasks.
- AI Foundations: Introduction to AI (Machine Learning, Deep Learning, and Ethics).
- Data & Presentation: Speed Up Data Analysis and Presentation Building with AI.
- AWS: AWS Cloud Quest: Cloud Practitioner (Infrastructure, VPC, IAM, and Cloud Economics).
- Google Cloud & Systems: Tools of the Trade (Linux and SQL) & Foundations: Data, Data, Everywhere.
- Observability: Datadog Foundation (System Admin, API Development, and ETL).
- Cybersecurity: Assets, Threats, and Vulnerabilities; Networks and Network Security; Managing Security Risks.
- Python Expert: Python with RPA and Real Project Creation (221h), Python for Backend (Santander).
- Object-Oriented Programming: Complete C# OOP + Projects (38h), Algorithms and Programming Logic (Java, C, C++, C#).
- Development Tools: GitHub Workshop, Linux Fundamentals, and System Administration.
- Automation: Process Automation (n8n, Zoho), Webhooks, and API Design.
- BI & Dashboards: Excel Advanced, Macro and VBA + Power BI (268h), Computer Skills + Power BI (217h).
- Project Management: Foundations of Project Management (Google).
- Business Strategy: Financial Management, Leadership, People Management, Recruitment and Selection (SEBRAE).
- English: Business English Parts 1, 2 & 3 (Santander), English Fundamentals (University of Pennsylvania), English (Kultivi).
- Methodology: Accelerated Learning (Kultivi).
Bachelor’s Degree in Computer Engineering
Centro Universitário Newton Paiva
2024 – 2028
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