Nicholas Moore

About

Backend/data engineer with production experience building high-concurrency customer engagement platforms at KomBea on AWS (EKS + Lambda) using FastAPI/Django, PostgreSQL, Redis, and strong observability. Has modernized legacy batch systems into modular Python services with parallel-run parity validation and phased rollouts, and has delivered resilient AWS Glue ETL pipelines with schema evolution and data quality controls.

Experience

Education

Key Strengths

• Designed and operated high-concurrency Python microservices on AWS (FastAPI/Django) with REST + WebSockets
• Reliability engineering: explicit timeouts, exponential-backoff retries, circuit-breaker safeguards, standardized exception layers
• Scaled Kubernetes workloads using autoscaling driven by application metrics (latency/queue depth), not just CPU
• Improved incident response time ~30% via observability stack (Prometheus/Grafana/Datadog) and alerting
• ETL/analytics pipelines on AWS Glue with schema evolution strategy, embedded data quality checks, and idempotent reruns
• Owned and resolved a batch/ETL production incident; added schema validation/versioning and improved runtime/record-count anomaly alerts
• SQL performance tuning in PostgreSQL; reduced a reporting query from seconds to <300ms and improved endpoint latency ~20%
• Legacy modernization: decomposed monolithic batch logic into modular Python services with parallel run parity validation and phased cutover