OHDSI/Data2Evidence
Sep 2025 – Sep 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
Data EngineeringDatabase ManagementETLHANA DatabasePythonSQL
yutingshe
PROFILE
Yutingshe
Yuting She developed an end-to-end HANA load plugin for the OHDSI/Data2Evidence repository, enabling automated loading of OMOP CDM 5.3 data into HANA databases. The solution combined Python scripting and SQL to orchestrate dataset download, extraction, schema creation, and data loading, streamlining analytics onboarding and reducing manual intervention. Yuting addressed data integrity by implementing stability fixes, such as standardized naming, cleanup of local storage after loading, and correct handling of NULL VOCABULARY_ID values in vocabulary and concept tables. This work demonstrated depth in data engineering, ETL, and HANA database management, resulting in improved data quality and analytics readiness.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
987
Activity Months1
Your Network
12 peopleSame Organization
@data4life-asia.care5
Work History
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
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data EngineeringDatabase ManagementETLHANA DatabasePythonSQL
Repositories Contributed To
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