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Annie Chang
Senior Full-Stack/Backend Software Engineer specializing in cloud-native automation and microservices
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About
Backend/data engineer with strong AWS production experience across containers (ECS) and serverless (API Gateway/Lambda/SQS), plus Glue-based ETL to Parquet for Athena/Redshift. Demonstrates hands-on reliability and security depth (Cognito OAuth2/JWT with JWKS rotation, idempotency/DLQs, monitoring) and measurable performance wins (Redis caching + query tuning), along with legacy-to-services modernization using parallel-run parity and feature-flagged cutovers.
Experience
Education
Key Strengths
- Built and operated Python/FastAPI backend on AWS with OAuth2/JWT (Cognito) and 99.9%+ uptime
- Performance optimization: Redis caching and query tuning improving performance up to 45%
- Deep JWT/JWKS implementation details (key rotation handling, strict claim validation, clock-skew leeway, safe logging)
- Designed serverless pipeline (API Gateway→Lambda→SQS→Lambda) with Terraform + GitHub Actions CI/CD, alarms and rollback
- Reliability engineering for spikes: reserved concurrency, batch sizing, DLQ, controlled backoff, idempotent workers; reduced error rate
- Built resilient AWS Glue ETL with schema evolution controls, quarantine/reject paths, and data quality gates with alerting
- Modernized legacy batch/rules workflow via versioned services, parallel runs for parity, feature-flagged phased cutover and rollback
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