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Thomas Baker

Senior Full-Stack Engineer specializing in serverless AWS and event-driven systems

AmazonUniversity of Texas at AustinDallas, TX12 Years ExperienceSenior LevelWorks Flexible

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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).

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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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Experience

Software Development Engineer IIIAmazon Web Services · Mar 2022 – Present
Senior Software EngineerIntuit · Nov 2019 – Feb 2022
Senior Software EngineerEverly Health · Sep 2016 – Oct 2019
Software EngineerAlertMedia · Oct 2013 – Aug 2016

Education

University of Texas at Austinbachelor (2013)

Languages

English

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Thomas BakerSenior Full-Stack Engineer specializing in serverless AWS and event-driven systems