🌐 About me
I’m a Backend Engineer specialized in Python/Django. I build production-grade APIs and systems with a strong focus on reliability, async workflows, performance, and maintainable architecture (service layer / domain-oriented design).
I’m currently strengthening my backend profile in distributed systems fundamentals: queues, retries, idempotency, eventual consistency, and observability — applied to real projects.
Note: I use Celery heavily for async processing (background jobs, retries, workflows).
- Backend with Django/DRF: authN/authZ, permissions, REST APIs, integrations, OpenAPI/Swagger docs
- Async workflows: Celery + Redis (retries, idempotency mindset, resilient processing)
- PostgreSQL: modeling + performance-aware queries
- Production mindset: deploy & operate services (Docker, Nginx, Gunicorn, Linux/VPS)
- Maintainable architecture: Service Layer + Selectors, domain boundaries, refactoring
A point-of-sale system I build and run in a real coffee business — built with an operations-first mindset.
Features
- Inventory & supplies (ingredients, recipes, consumption)
- Multi-user with role-based access
- Cash reconciliation and daily closing
- Tablet-optimized operations
- Async workflows & automation (Celery)
Currently working on
- More modular architecture (domain-oriented / service layer)
- Layered testing (unit / integration / API)
- CI/CD improvements with GitHub Actions
- Better operational visibility (structured logs, traceability)
- pytest / pytest-django / factory_boy
- Service Layer + Selectors (DDD-lite)
- Focus on increasing coverage with tests that matter (business rules + integration)
- Distributed backend fundamentals: queues, retries, idempotency, eventual consistency, outbox/inbox patterns
- Observability: structured logs, metrics, tracing
- Postgres performance: indexing, profiling, caching with intent
- Practical AI integrations: OpenAI API in real apps
- 💼 LinkedIn: linkedin.com/in/jimenezdev
- 🎯 Open to opportunities as a Backend Engineer (Python/Django)