Building for 2026 standards with 20 years of data-driven engineering. I specialize in high-performance Python backends where database integrity and architectural security are non-negotiable.
| Category | Tools & Technologies |
|---|---|
| Backend & Orchestration | Python 3.12+, Django Expert, Apache Airflow |
| Data Architecture | Deep SQL Optimization, PostgreSQL, Oracle (Ex-Consultant) |
| Tooling & DX | uv, Ruff, Pytest, Pre-commit |
| DevOps & Cloud | GitHub Actions, Docker, Ansible, Infrastructure as Code |
| Security | OWASP, SAST (Bandit), SonarQube, Secure-by-design |
- Security-First: Deep alignment with OWASP standards and automated security linting integrated into CI/CD.
- Performance: Expert-level database tuning—eliminating N+1 queries and optimizing high-concurrency contention.
- Excellence: Strict adherence to SOLID principles and modern type-hinting for long-term maintainability.
django-faktory-outbox – Production-grade Python Package implementing the Transactional Outbox Pattern. It acts as a reliable relay between Django and Faktory, ensuring 100% data integrity by silo-ing background jobs within the DB transaction to prevent orphaned tasks.
This profile is a curated showcase of my current architectural standards. While my engineering career spans over two decades—from Oracle RDBMS consulting to Python leadership—I made the deliberate choice to transition my public presence to this focused workspace.
I have retired my legacy repositories (15 years of "green squares") to ensure this profile reflects only modern, production-grade engineering: scalable, secure, and highly automated.
- Expertise: Python Lead (10+ yrs), Database Specialist (10+ yrs).
- Focus: Bridging enterprise data rigor with modern automation agility.