Edwin Rivera

About

Backend/data engineer with production experience building real-time sensor telemetry platforms: FastAPI + PostgreSQL services with strong observability, plus AWS serverless and Glue-based ETL into Redshift. Has modernized legacy SAS pipelines into Python microservices and delivered measurable performance wins (Postgres query latency cut to <1 minute and ~60% DB CPU reduction) while owning incident response and reliability improvements.

Experience

Education

Key Strengths

• Built production FastAPI backend for real-time sensor telemetry with JWT/RBAC and resilience patterns (retries/timeouts/circuit breakers)
• Strong observability implementation (structured logging, Sentry, Prometheus/Grafana, request/user correlation, alerting)
• Delivered AWS serverless event pipeline with Terraform IaC and GitHub Actions CI/CD; secrets/config management via Secrets Manager
• Cost and scaling optimization in Lambda (concurrency limits, provisioned concurrency, right-sized memory/timeouts, batching)
• AWS Glue ETL from S3/Kafka to Redshift with schema evolution via crawlers and data quality checks
• Modernized legacy SAS analytics into Python microservices on Lambda/ECS with parity testing and parallel run migration strategy
• PostgreSQL performance tuning: reduced dashboard query latency from minutes to <1 minute; ~60% DB CPU reduction; eliminated timeouts
• Owned data pipeline incident response: detected via CloudWatch alarms, triaged via Glue/Spark logs, rollback/rerun strategy, added schema validation and canary runs