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John Hoffman
Senior Data Engineer specializing in Databricks, Spark, and AWS for government healthcare data systems
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Python/AWS engineer focused on batch-processing and data workflows, including building reusable S3/boto3 utilities with reliability features and IAM-based auth. Has led low-risk legacy modernizations using parity testing plus a month of parallel production runs, and has owned production issues end-to-end (including fixing a client-side Excel macro) while contributing to significant AWS cost reductions (~$10k/month).
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Key Strengths
- Built Python S3 utilities to replace s3fs-fuse and reduce inconsistent file-operation behavior
- Implemented reliability patterns (exponential backoff) for AWS API/network failures
- Modernized legacy logic with output-parity validation and parallel production runs (~1 month) to reduce migration risk
- Production incident ownership: diagnosed client file-format failures and fixed root cause (Excel macro) to prevent recurrence
- Contributed to cloud cost-reduction efforts (~$10k/month savings)
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