
Developed a DHIS2 data extraction enhancement for the BLSQ/openhexa-toolbox repository, focusing on expanding the system’s ability to retrieve program metadata, program stages, and data elements from DHIS2. Leveraging Python and API integration skills, the work introduced new functions that enable more comprehensive data extraction to support analytics and downstream data pipelines. The implementation included preparing documentation and establishing a foundation for future improvements in DHIS2 integration. Emphasis was placed on robust testing and clear workflow enhancements, resulting in a single, cohesive feature addition that improved the readiness of the data extraction process for analytical use cases.
January 2026: Implemented DHIS2 Data Extraction Enhancement in BLSQ/openhexa-toolbox, adding capabilities to retrieve program metadata, program stages, and data elements from DHIS2 to enable more complete data extraction and analytics.
January 2026: Implemented DHIS2 Data Extraction Enhancement in BLSQ/openhexa-toolbox, adding capabilities to retrieve program metadata, program stages, and data elements from DHIS2 to enable more complete data extraction and analytics.

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