Rodrigo de León

Python • Distributed Systems • Database Design

Backend Software Engineer focused on building reliable, production-grade systems in Python. I specialize in asynchronous architectures, database schema evolution, and event-driven workflows across distributed services. I value explicit design, fault-tolerance, and long-term maintainability. My engineering approach blends backend architecture, data modeling rigor, and infrastructure awareness to deliver resilient systems at scale.

What I Build

• Production-grade backend systems designed for reliability and scale
• Event-driven workflows across distributed services
• Reliable database schemas and migrations with careful evolution strategies
• Async Python services using modern frameworks and patterns
• Infrastructure-aware backend architectures optimized for cloud environments
• API contracts and service integrations (GraphQL, REST) with clear boundaries

Engineering Principles

• Design for evolvability: Build systems that can adapt to changing requirements without major rewrites
• Idempotent and fault-tolerant workflows: Ensure operations can be safely retried and systems gracefully handle failures
• Explicit contracts over implicit behavior: Define clear interfaces and expectations between services
• Database-first thinking: Treat data modeling as a first-class concern in backend systems
• Clean abstractions with clear boundaries: Maintain separation of concerns and modular design
• Observability and monitoring: Instrument systems for visibility into production behavior

Selected Engineering Contributions

• Designed cross-service deletion workflows using event-driven patterns to maintain data consistency across distributed systems
• Migrated legacy SQLAlchemy models to modern 2.0 async declarative architecture, improving performance and maintainability
• Implemented feature-flag driven systems with runtime configuration for safe, gradual rollouts
• Built idempotent background processing with retry policies and dead-letter handling
• Led schema evolution initiatives in production PostgreSQL systems with zero-downtime migrations
• Developed AI-integrated microservices enabling scalable chatbot and automation solutions
• Enhanced observability through structured logging and tracing, reducing incident investigation time

Technical Notes

Coming soon - insights on backend architecture, distributed systems patterns, and database design.