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Thomas Baker
Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems
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About
Backend/data engineer with experience at AWS and Intuit building and operating production serverless systems and data pipelines. Delivered an internal AWS TV video-processing platform using Step Functions/Lambda/S3/DynamoDB with strong reliability and cost controls, and built Glue-based ETL for compliance/risk events (Kafka to partitioned Parquet). Also modernized legacy compliance systems into Java/Node event-driven services and has demonstrated measurable SQL tuning impact (200s to 20s).
Experience
Education
Key Strengths
- Designed and operated a production serverless video-processing pipeline on AWS (S3, Step Functions, Lambda, DynamoDB)
- Reliability engineering: idempotency, retries/backoff, timeouts, clear error categorization, and CloudWatch monitoring/alarms
- Cost and scaling control in serverless workflows (concurrency limits, batching, tuning memory/timeouts, retry policy optimization)
- Built ETL pipelines with AWS Glue from Kafka/API logs to partitioned Parquet on S3 with schema evolution and data quality handling
- Modernized legacy compliance/risk batch logic into owned event-driven services with parallel-run parity validation and gradual rollout
- SQL performance optimization with execution-plan-driven indexing and materialized views; reduced query runtime ~90% (200s to ~20s)
- Owned production incident response for batch/data pipelines; mitigated SLA misses via partition re-runs and improved lag-based alerting
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