
Patrick Hawley delivered three features and a bug fix across the CDCgov/NEDSS-DataReporting, NEDSS-Modernization, and NEDSS-DataIngestion repositories, focusing on performance testing and deployment reliability. He built an HL7 Performance Testing ELR Generator to enhance data reporting test coverage, leveraging Python and YAML for data generation and workflow configuration. Patrick improved CI/CD pipelines by correcting service naming, updating secrets, and refining GitHub Actions workflows, which reduced deployment failures and standardized microservice releases. His work included deploying modernization APIs to AWS ECR and temporarily disabling SonarQube scans, demonstrating depth in DevOps, microservices, and automated testing within a complex health data environment.

January 2026 – Performance-review-ready summary: Delivered key features and reliability improvements across three NEDSS repositories. HL7 Performance Testing ELR Generator added to CDCgov/NEDSS-DataReporting to boost performance testing capabilities. Modernization API deployment to Skylight AWS ECR and alignment of microservice workflows, with SonarQube scans temporarily disabled to unblock progress. Deployment workflow improvements for ingestion/processing/deduplication services, including ECR push fixes and temporary deduplication build halt. Fixed CI/CD issues such as service name typos and updated secrets to ensure accurate deployments. Together, these efforts increased testing coverage, reduced deployment failures, and standardized cross-repo naming, enabling faster, safer releases and more reliable data processing. Technologies demonstrated: HL7/ELR, AWS ECR/Skylight, GitHub Actions, containerized microservices, YAML workflows, and SonarQube workflow control.
January 2026 – Performance-review-ready summary: Delivered key features and reliability improvements across three NEDSS repositories. HL7 Performance Testing ELR Generator added to CDCgov/NEDSS-DataReporting to boost performance testing capabilities. Modernization API deployment to Skylight AWS ECR and alignment of microservice workflows, with SonarQube scans temporarily disabled to unblock progress. Deployment workflow improvements for ingestion/processing/deduplication services, including ECR push fixes and temporary deduplication build halt. Fixed CI/CD issues such as service name typos and updated secrets to ensure accurate deployments. Together, these efforts increased testing coverage, reduced deployment failures, and standardized cross-repo naming, enabling faster, safer releases and more reliable data processing. Technologies demonstrated: HL7/ELR, AWS ECR/Skylight, GitHub Actions, containerized microservices, YAML workflows, and SonarQube workflow control.
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