William Hatton

About

Backend/data engineer focused on production-grade Python services and AWS platforms: builds FastAPI microservices on EKS with strong reliability patterns, CI/CD, and observability. Also delivers AWS Glue/Redshift analytics pipelines with schema-evolution and data-quality safeguards, and has modernized legacy batch processing into maintainable services with parallel-run parity validation and feature-flagged rollouts.

Experience

Education

Key Strengths

• Built and operated production FastAPI microservices on AWS (Docker/Kubernetes/EKS) with PostgreSQL and Redis
• Designed reliability patterns for APIs (JWT/OAuth2 auth, retries/timeouts, circuit breaking, structured validation)
• Implemented automated CI/CD with security checks and zero-downtime Kubernetes rolling deployments
• Production observability ownership (centralized logging, Prometheus/Grafana metrics/alerts, Sentry error tracking)
• AWS Glue ETL design from S3/PostgreSQL to S3 (Parquet) and Redshift with schema evolution and data quality controls
• Incident ownership for batch/ETL failures with monitoring-driven detection and prevention via schema validation
• SQL performance tuning with measured impact (PostgreSQL query reduced from minutes to <10 seconds via indexing/rewrites/partitioning)
• Legacy batch system modernization to Python services with parity validation (parallel runs, reconciliation/diff reports) and risk controls (feature flags, phased rollout)