CDCgov/NEDSS-Modernization
Mar 2026 – Apr 2026
2 Months active
Languages Used
JavaTypeScriptYAMLPythonSQL
Technical Skills
API developmentCI/CDContinuous IntegrationDevOpsHelmJava
elisa lee
PROFILE
Elisa Lee
Over a two-month period, contributed to CDCgov/NEDSS-Modernization and NEDSS-DataIngestion by building dynamic reporting endpoints, integrating a Python execution service, and enhancing deployment reliability through improved Helm workflows and ECR path resolution. Developed a utility for standardizing data source names and migrated a key report from SAS to Python, enabling more maintainable, tabular reporting and reducing legacy dependencies. Leveraged Java, Python, and SQL scripting to deliver backend features, automate workflows, and strengthen data governance. Emphasized CI/CD readiness by implementing comprehensive unit tests and containerized development setups, supporting faster code review and consistent, automated deployment across microservices and repositories.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
4
Lines of code
1,868
Activity Months2
Your Network
51 peopleShared Repositories
15
Jordan GuinnMember
Ada BallMember
Mary McGrathMember
hawley-skylightMember
elisa leeMember
Eric BuckleyMember
krista-skylightMember
Jordan GuinnMember
Steve UrciuoliMember
Work History
April 2026
2 Commits • 1 Features
Apr 1, 20262026-04 Monthly Summary for CDCgov/NEDSS-Modernization focused on delivering robust reporting capabilities, data governance improvements, and CI-ready code healthy for the next release cycle.
2 Commits • 1 Features
Apr 1, 20262026-04 Monthly Summary for CDCgov/NEDSS-Modernization focused on delivering robust reporting capabilities, data governance improvements, and CI-ready code healthy for the next release cycle.
April 2026
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary focusing on key accomplishments across NEDSS-Modernization and NEDSS-DataIngestion. Highlights include: (1) Key features delivered: added dynamic reporting endpoints and Python execution service, temporarily suspended automated Helm chart updates to control deployment workflows, updated release workflows for data ingestion/processing, and fixed deployment reliability by correcting ECR path resolution after microservice renames. (2) Major bugs fixed: ensured deployments pull images from correct ECR locations following microservice renames. (3) Overall impact and accomplishments: improved deployment reliability and governance, enabled dynamic, permission-based reporting, and refreshed release workflows for data ingestion pipelines. (4) Technologies/skills demonstrated: REST endpoints, Python service integration via RestClient, Helm workflow control, microservice naming, TypeScript/frontend-backend integration, and cross-repo collaboration. Key references: - Deployment ECR Path Correctness: a8f3ec64836ae22a5bf014dbf1a267996dc9286f - Dynamic Reporting Endpoints and Python Execution Service: 2fc341c0e165a616ef819c1087dd42a9b3eb9244 - Temporary Suspension of Automated Helm Chart Updates: 0231a46d0169c63df85ca37e78da77f47ad95280 - Release Workflow Improvements for Data Ingestion and Processing: f7f0adbdc98a9d2e73cb2f125b841f768b6b65dc
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary focusing on key accomplishments across NEDSS-Modernization and NEDSS-DataIngestion. Highlights include: (1) Key features delivered: added dynamic reporting endpoints and Python execution service, temporarily suspended automated Helm chart updates to control deployment workflows, updated release workflows for data ingestion/processing, and fixed deployment reliability by correcting ECR path resolution after microservice renames. (2) Major bugs fixed: ensured deployments pull images from correct ECR locations following microservice renames. (3) Overall impact and accomplishments: improved deployment reliability and governance, enabled dynamic, permission-based reporting, and refreshed release workflows for data ingestion pipelines. (4) Technologies/skills demonstrated: REST endpoints, Python service integration via RestClient, Helm workflow control, microservice naming, TypeScript/frontend-backend integration, and cross-repo collaboration. Key references: - Deployment ECR Path Correctness: a8f3ec64836ae22a5bf014dbf1a267996dc9286f - Dynamic Reporting Endpoints and Python Execution Service: 2fc341c0e165a616ef819c1087dd42a9b3eb9244 - Temporary Suspension of Automated Helm Chart Updates: 0231a46d0169c63df85ca37e78da77f47ad95280 - Release Workflow Improvements for Data Ingestion and Processing: f7f0adbdc98a9d2e73cb2f125b841f768b6b65dc
Activity
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Quality Metrics
Correctness93.4%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
JavaPythonSQLTypeScriptYAML
Technical Skills
API DevelopmentAPI developmentCI/CDContinuous IntegrationDevOpsHelmJavaKubernetesMicroservicesPython developmentRESTful servicesSQL scriptingSpring BootTypeScriptUnit Testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
CDCgov/NEDSS-DataIngestion
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
CI/CDDevOpsWorkflow Automation