Senior Data Engineer | Cloud Architect (GCP/AWS) | AI & Automation Enthusiast
I am a Physicist turned Senior Data Engineer with a PhD in Theoretical & Mathematical Physics. I bridge the gap between rigorous scientific computing, modern cloud data architecture, and AI-driven automation.
- 🚀 Currently: Architecting large-scale cross-platform Data Marts (GCP/AWS) and pioneering Multi-Agent AI systems for automated dbt code reviews.
- 💡 Core Expertise: Cloud Infrastructure (GCP/AWS), Modern Data Stack (dbt, BigQuery, Airflow), Generative AI (LLMs, Multi-Agent Systems, RAG), and High-Performance Numerical Modeling.
- 🌐 Open Science & Free Software Advocate: Contributor to community projects like SageMath and maintainer of
mittleffpy(high-performance numerical computation package). - 🧗♂️ Beyond Coding: Bikepacking, rock climbing, and digital art.
Cloud & Data Platforms
Languages & Tools
AI & Automation
mittleffpy: High-performance numerical computing package in C/Python for calculating the Mittag-Leffler function.guile-pyffi: Guile Scheme interface for Python, bridging functional languages and scientific libraries.- SageMath Contributions: Custom modules for potential barrier transmission coefficients in physics research.
- Atlas do Capital Humano: Interactive decision-support platform in R Shiny consolidating municipal educational and workforce data.
- Cloud Data Infrastructure: Architected cross-platform Data Marts (GCP/AWS) serving 3M+ students across 7,000+ schools, accelerating data access by 40%.
- AI Code Governance: Engineered a Multi-Agent AI framework for automated dbt code audits, boosting standards compliance by 60%.
- Public Policy Analytics: Unified municipal data silos at IPLANFOR into a Single Source of Truth, accelerating policy evaluation cycles by 3 weeks.
🌐 Website & Portfolio: https://padawanphysicist.codeberg.page