CDCgov/NEDSS-DataReporting
Mar 2026 – Jul 2026
5 Months active
Languages Used
SQLJSONJavaMarkdownPythonYAMLHL7JavaScript
Technical Skills
SQL scriptingdata integrationdatabase managementerror handlingDatabase ManagementDevOps
Eric Nagel
PROFILE
Eric Nagel
Worked on the CDCgov/NEDSS-DataReporting repository, delivering robust data infrastructure and reporting enhancements over five months. Focused on backend development and data pipeline engineering, this work included hardening Change Data Capture logic, expanding HL7 and SQL-based ELR support, and improving onboarding and operational reliability. Leveraged technologies such as Python, SQL, and Docker to automate testing, streamline database migrations, and enhance data integrity across multiple datamarts. Introduced concurrency control and application-level locking to prevent execution conflicts, while refining functional testing frameworks and deployment workflows. These efforts improved data quality, accelerated onboarding, and enabled more reliable public health reporting and maintenance.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
41Total
Bugs
6
Commits
41
Features
19
Lines of code
56,896
Activity Months5
Your Network
30 peopleWork History
July 2026
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered key data infrastructure enhancements and reliability improvements across the COVID data pipeline, enabling safer migrations, more robust test data management, and improved data accessibility for downstream systems.
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered key data infrastructure enhancements and reliability improvements across the COVID data pipeline, enabling safer migrations, more robust test data management, and improved data accessibility for downstream systems.
July 2026
June 2026
14 Commits • 12 Features
Jun 1, 2026June 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered foundational infra and environment stability for Real Time Reporting (RTR), hardened security monitoring, and improved deployment reproducibility; enhanced HIV/STD datamart and cross-datamart data quality; fixed critical tests and streamlined developer workflow. Business value: more reliable RTR, faster onboarding, reduced deployment risk, and higher data integrity.
June 2026
14 Commits • 12 Features
Jun 1, 2026June 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered foundational infra and environment stability for Real Time Reporting (RTR), hardened security monitoring, and improved deployment reproducibility; enhanced HIV/STD datamart and cross-datamart data quality; fixed critical tests and streamlined developer workflow. Business value: more reliable RTR, faster onboarding, reduced deployment risk, and higher data integrity.
May 2026
14 Commits • 3 Features
May 1, 2026May 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered core data reporting enhancements focusing on data integrity, ELR readiness, and testing automation. Achieved robust STEC ELR support, vaccination data model expansion, and expanded testing tooling, enabling more reliable public health reporting and faster QA cycles.
14 Commits • 3 Features
May 1, 2026May 2026 monthly summary for CDCgov/NEDSS-DataReporting: Delivered core data reporting enhancements focusing on data integrity, ELR readiness, and testing automation. Achieved robust STEC ELR support, vaccination data model expansion, and expanded testing tooling, enabling more reliable public health reporting and faster QA cycles.
May 2026
April 2026
9 Commits • 2 Features
Apr 1, 2026April 2026 focused on hardening the NEDSS-DataReporting pipeline, expanding the testing ecosystem, and simplifying database maintenance to improve data quality, reliability, and maintainability in CDC workflows. Key work included robust LDF processing with dynamic column handling and safeguards to prevent querying non-existent tables and FK violations, extensive improvements to the testing framework and environment (including conditional docker-compose overrides and functional testing utilities), and the removal of an obsolete Batch Id Cleanup Job with updated DB management guidance. These changes reduce runtime errors, raise confidence in data reporting, and streamline maintenance and onboarding for the data reporting team.
April 2026
9 Commits • 2 Features
Apr 1, 2026April 2026 focused on hardening the NEDSS-DataReporting pipeline, expanding the testing ecosystem, and simplifying database maintenance to improve data quality, reliability, and maintainability in CDC workflows. Key work included robust LDF processing with dynamic column handling and safeguards to prevent querying non-existent tables and FK violations, extensive improvements to the testing framework and environment (including conditional docker-compose overrides and functional testing utilities), and the removal of an obsolete Batch Id Cleanup Job with updated DB management guidance. These changes reduce runtime errors, raise confidence in data reporting, and streamline maintenance and onboarding for the data reporting team.
March 2026
2 Commits • 1 Features
Mar 1, 2026In March 2026, delivered two high-impact items for CDCgov/NEDSS-DataReporting that improve data reliability, onboarding speed, and operational robustness. The changes reduce unnecessary Change Data Capture (CDC) executions, strengthen script reliability, and expand NRT data loading capabilities to support diverse data types, enabling faster, more accurate reporting.
2 Commits • 1 Features
Mar 1, 2026In March 2026, delivered two high-impact items for CDCgov/NEDSS-DataReporting that improve data reliability, onboarding speed, and operational robustness. The changes reduce unnecessary Change Data Capture (CDC) executions, strengthen script reliability, and expand NRT data loading capabilities to support diverse data types, enabling faster, more accurate reporting.
March 2026
Activity
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Quality Metrics
Correctness90.8%
Maintainability85.4%
Architecture85.4%
Performance82.8%
AI Usage39.6%
Skills & Technologies
Programming Languages
HL7JSONJavaJavaScriptMarkdownPythonSQLYAML
Technical Skills
Backend DevelopmentConcurrency ControlConfiguration ManagementData EngineeringData PipelineData Pipeline EngineeringData ValidationData formattingDatabase AdministrationDatabase EngineeringDatabase ManagementDatabase MigrationDatabase Schema DesignDatabase Stored ProceduresDevOps
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline