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Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
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Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.
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Key Strengths
- Designed and maintained large-scale Python backend APIs for real-time inventory lookup and personalized recommendations
- Reliability engineering: stateless APIs, JWT auth, consistent structured errors, explicit timeouts/retries/backoff, graceful degradation
- Scaling under peak events: circuit breaking, Redis caching, async workflows, and Kubernetes autoscaling tuned to app metrics (latency/queue depth)
- Strong observability practice (Prometheus metrics, Datadog tracing, structured logging) with dashboards and alerting
- Production leadership: served as incident commander, led RCA, and improved recovery times
- ETL resilience on AWS Glue/PySpark: schema evolution handling, data quality checks, quarantine paths, and partition-level replays
- Legacy modernization with risk control: reverse-engineered business rules, rebuilt as Python services, parallel runs with granular parity checks, phased rollout/rollback
- SQL optimization with measured impact (20–25% query execution time reduction) using execution plans and indexing/join restructuring
- Operational incident response for batch pipelines: detected via freshness/SLA alerts, mitigated via re-partitioned reruns, and added trend-based early warning monitoring
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