
Over six months, contributed to CDCgov/NEDSS-DataReporting by building and enhancing backend features focused on data integrity, automated disease investigation, and robust testing frameworks. Leveraged Python, SQL, and JavaScript to modernize data pipelines, implement HL7 performance testing tools, and expand functional test coverage for infectious disease reporting. Improved CI/CD workflows and containerized deployments using AWS and GitHub Actions, while addressing security vulnerabilities and dependency management. Introduced CLI enhancements for test observability and streamlined local development by adopting Kafka KRaft. The work emphasized reliable data processing, maintainable test automation, and alignment between development and production environments for public health informatics.
July 2026: Strengthened testing infrastructure and data validation in CDCgov/NEDSS-DataReporting. Delivered observable business value by enabling in-depth test observability and ensuring data integrity in the reporting pipeline, reducing the likelihood of data quality issues in production.
July 2026: Strengthened testing infrastructure and data validation in CDCgov/NEDSS-DataReporting. Delivered observable business value by enabling in-depth test observability and ensuring data integrity in the reporting pipeline, reducing the likelihood of data quality issues in production.
June 2026 monthly summary for CDCgov/NEDSS-DataReporting focused on strengthening data integrity, security, and testability in the reporting pipeline. Delivered three core outcomes: 1) Data integrity enhancements to prevent dangling FKs and ensure cross-datamart consistency; 2) Security vulnerability patch aligning with CVE advisories; 3) Test framework modernization to improve reliability and maintainability of pipelines.
June 2026 monthly summary for CDCgov/NEDSS-DataReporting focused on strengthening data integrity, security, and testability in the reporting pipeline. Delivered three core outcomes: 1) Data integrity enhancements to prevent dangling FKs and ensure cross-datamart consistency; 2) Security vulnerability patch aligning with CVE advisories; 3) Test framework modernization to improve reliability and maintainability of pipelines.
In May 2026, delivered enhancements to the testing framework for data reporting pipelines and completed Part 2 of the Standard Contact Tracing feature for STD investigations. Focus was on strengthening test validation, test data management, and data handling for reliable reporting results across CDC's NEDSS-DataReporting pipelines.
In May 2026, delivered enhancements to the testing framework for data reporting pipelines and completed Part 2 of the Standard Contact Tracing feature for STD investigations. Focus was on strengthening test validation, test data management, and data handling for reliable reporting results across CDC's NEDSS-DataReporting pipelines.
Concise monthly summary for 2026-04 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated for CDCgov/NEDSS-DataReporting. Highlighted: data integrity improvements, schema-aware data retrieval fix, and expanded infectious disease testing framework.
Concise monthly summary for 2026-04 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated for CDCgov/NEDSS-DataReporting. Highlighted: data integrity improvements, schema-aware data retrieval fix, and expanded infectious disease testing framework.
March 2026 performance summary for CDCgov/NEDSS-DataReporting. Delivered two strategic features and modernized the local development workflow to improve efficiency, reliability, and alignment with production. Key outcomes include automated investigation creation from positive test results via workflow decision support, and development environment modernization by removing Zookeeper and enabling Kafka KRaft for local development. Documentation and integration tests were updated to reflect the new local-dev workflow. Business impact: faster and more accurate disease investigations; reduced local dev setup friction; stronger alignment between development and production environments. Technologies and skills demonstrated: workflow decision support algorithms, Kafka KRaft adoption, development docs, and test adjustments, with clear cross-team collaboration.
March 2026 performance summary for CDCgov/NEDSS-DataReporting. Delivered two strategic features and modernized the local development workflow to improve efficiency, reliability, and alignment with production. Key outcomes include automated investigation creation from positive test results via workflow decision support, and development environment modernization by removing Zookeeper and enabling Kafka KRaft for local development. Documentation and integration tests were updated to reflect the new local-dev workflow. Business impact: faster and more accurate disease investigations; reduced local dev setup friction; stronger alignment between development and production environments. Technologies and skills demonstrated: workflow decision support algorithms, Kafka KRaft adoption, development docs, and test adjustments, with clear cross-team collaboration.
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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