OHDSI/Data2Evidence
Sep 2025 – Dec 2025
3 Months active
Languages Used
PythonSQLCSSHTMLJavaScriptTypeScriptDockerfileR
Technical Skills
Data EngineeringDatabase ManagementETLHANA DatabasePythonSQL
yutingshe
PROFILE
Yutingshe
Over a three-month period, contributed to the OHDSI/Data2Evidence repository by building and enhancing data engineering workflows focused on analytics readiness and data quality. Developed an end-to-end HANA load plugin for OMOP CDM 5.3, using Python and SQL to automate dataset extraction, schema creation, and data loading, while implementing robust error handling and data validation. Expanded data transformation capabilities with R programming and Docker, integrating Artemis templates and improving ingestion flexibility through configurable CSV loading and version tracking. Introduced file upload and management features in Supabase Storage, streamlining asset handling and enabling URL-based data retrieval for more efficient downstream analytics.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
5
Lines of code
8,282
Activity Months3
Your Network
14 peopleSame Organization
@data4life-asia.care6
Shared Repositories
8
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025Monthly summary for 2025-12 (OHDSI/Data2Evidence). Delivered two major features and several reliability improvements that strengthen data transformation, ingestion flexibility, and governance. Artemis Template Integration and Data Transformation Enhancements introduced R packages and Dockerfile updates to enable Artemis-based data transformations across the project. Data Loading Improvements introduced a configurable CSV loading option and enhanced dataset versioning with schema checks, improving reproducibility and data quality. Added get_version_info to support version tracking for datasets and deployments. Overall impact includes faster onboarding of Artemis templates, more reliable data ingestion, and traceable data versions, delivering measurable business value and stronger technical foundations.
3 Commits • 2 Features
Dec 1, 2025Monthly summary for 2025-12 (OHDSI/Data2Evidence). Delivered two major features and several reliability improvements that strengthen data transformation, ingestion flexibility, and governance. Artemis Template Integration and Data Transformation Enhancements introduced R packages and Dockerfile updates to enable Artemis-based data transformations across the project. Data Loading Improvements introduced a configurable CSV loading option and enhanced dataset versioning with schema checks, improving reproducibility and data quality. Added get_version_info to support version tracking for datasets and deployments. Overall impact includes faster onboarding of Artemis templates, more reliable data ingestion, and traceable data versions, delivering measurable business value and stronger technical foundations.
December 2025
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 performance summary for OHDSI/Data2Evidence focused on delivering new data handling capabilities and data transformation improvements that drive downstream business value. The month emphasized feature delivery with concrete outcomes around storage-enabled asset management and data ingestion/transformation via URL-based data retrieval, improving data workflows and enablement for analytics.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 performance summary for OHDSI/Data2Evidence focused on delivering new data handling capabilities and data transformation improvements that drive downstream business value. The month emphasized feature delivery with concrete outcomes around storage-enabled asset management and data ingestion/transformation via URL-based data retrieval, improving data workflows and enablement for analytics.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 performance: OHDSI/Data2Evidence delivered an end-to-end Hana load plugin for OMOP CDM 5.3 on HANA and hardened data loading to ensure reliability and data quality. The work included Python scripts and SQL assets to download datasets, extract data, create the target schema, and load data into HANA. Key stability and data integrity fixes were implemented to address naming standards, cleanup local storage after loading, and proper handling of NULL VOCABULARY_ID values in the vocabulary and concept tables. The combined effort accelerates analytics readiness on HANA, reduces manual steps, and improves data accuracy for downstream reporting and research. Technologies include Python, SQL, ETL tooling, and HANA-specific data modeling for OMOP CDM 5.3.
2 Commits • 1 Features
Sep 1, 2025September 2025 performance: OHDSI/Data2Evidence delivered an end-to-end Hana load plugin for OMOP CDM 5.3 on HANA and hardened data loading to ensure reliability and data quality. The work included Python scripts and SQL assets to download datasets, extract data, create the target schema, and load data into HANA. Key stability and data integrity fixes were implemented to address naming standards, cleanup local storage after loading, and proper handling of NULL VOCABULARY_ID values in the vocabulary and concept tables. The combined effort accelerates analytics readiness on HANA, reduces manual steps, and improves data accuracy for downstream reporting and research. Technologies include Python, SQL, ETL tooling, and HANA-specific data modeling for OMOP CDM 5.3.
September 2025
Activity
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Quality Metrics
Correctness82.8%
Maintainability82.8%
Architecture80.0%
Performance77.2%
AI Usage28.6%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJavaScriptPythonRSQLTypeScript
Technical Skills
API developmentAPI integrationData EngineeringDatabase ManagementDockerETLHANA DatabaseNode.jsPythonR programmingReactSQLasynchronous programmingdata engineeringdata processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline