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Eduardo Diaz
Senior Full-Stack Software Engineer specializing in Python, FastAPI/Django, and Azure
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Backend/data engineer with production experience building real-time IoT telemetry pipelines for wind/solar assets at Siemens (FastAPI on Azure Event Hubs/Service Bus, Cosmos DB + SQL Server) and deploying GPS/fleet telematics microservices on AWS ECS Fargate with Terraform and blue/green CI/CD. Demonstrated strong reliability and performance chops, including a 30s-to-<100ms SQL optimization and owning a Kafka pipeline incident resolved in ~20 minutes.
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Key Strengths
- Designed and built real-time IoT telemetry ingestion APIs on Azure (Event Hubs/Service Bus/Cosmos DB/SQL Server)
- Reliability engineering: OAuth2/JWT auth, RBAC, retries with exponential backoff, timeouts, circuit breakers, DLQ patterns
- Production incident response: detected pipeline lag via monitoring, traced memory leak, scaled replicas and shipped hotfix to restore processing in ~20 minutes
- High-impact SQL performance tuning: reduced dashboard query latency from ~30s to <100ms and cut DB CPU ~40% via indexing and partitioning
- AWS container platform delivery: ECS Fargate + Terraform + CI/CD with Docker/ECR and blue-green deployments
- Legacy modernization: extracted business logic from monolith/stored procedures into Django microservices with parity validation and stakeholder demos
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