.png){kind=logo}
Ricky Zheng
Senior Backend/AI Engineer specializing in AWS-native data processing and legacy modernization
Connect with Ricky
Ricky already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.
Experience
Key Strengths
- Built and operated a production FastAPI service on AWS for real-time AI workflows (Postgres + Redis, containerized behind API Gateway)
- Reliability engineering: JWT/service tokens, early auth validation, strict timeouts, safe retries with backoff, defensive error handling
- Infrastructure and deployments via Terraform + GitHub Actions across dev/staging/prod with env-specific variables
- Serverless and container experience (Lambda, ECS/EKS) with autoscaling, resource limits, and monitoring for cost/performance balance
- AWS Glue ETL from S3/operational DBs into Snowflake with crawlers, schema versioning, validation, and idempotent replay
- Modernized legacy batch workflows via parallel runs, parity validation on historical data, phased cutover with feature flags and rollback
- SQL performance tuning: reduced a reporting query from minutes to seconds via composite indexing and join rewrites
- Production incident ownership: detected via batch/data freshness alerts, triaged upstream delay, mitigated with backfill reruns and improved dependency checks
Discover more candidates like Ricky
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent