
Worked on the dataforgoodfr/13_odis repository to deliver a social housing data pipeline supporting regional and municipal analytics. Developed end-to-end data extraction and transformation workflows using Python, SQL, and dbt, including a notebook to automate downloading, processing, and uploading government housing data to AWS S3. Refactored the pipeline from bronze to silver layers, introducing SQL macros and data models for standardized aggregation at commune, department, region, and EPCI levels. Focused on data quality, accessibility, and traceability, with clear documentation and reusable ETL utilities. The work established a foundation for scalable reporting and faster analytics on social housing indicators.
June 2025 monthly summary for dataforgoodfr/13_odis: Delivered a Bronze-to-Silver refactor of the Social Housing Data Pipeline with commune-level aggregation. Introduced new SQL macros and models to structure housing data across commune, department, region, and EPCI levels; prepared data for the gold layer by enabling downstream aggregation and data quality improvements; established a commune-level path to improve reporting accuracy. This work enhances data quality, accessibility, and reporting capabilities for social housing indicators and sets the foundation for faster analytics and scalable reporting.
June 2025 monthly summary for dataforgoodfr/13_odis: Delivered a Bronze-to-Silver refactor of the Social Housing Data Pipeline with commune-level aggregation. Introduced new SQL macros and models to structure housing data across commune, department, region, and EPCI levels; prepared data for the gold layer by enabling downstream aggregation and data quality improvements; established a commune-level path to improve reporting accuracy. This work enhances data quality, accessibility, and reporting capabilities for social housing indicators and sets the foundation for faster analytics and scalable reporting.
April 2025 monthly performance summary for dataforgoodfr/13_odis: Delivered an end-to-end Social Housing Data Extraction Notebook and S3 upload pipeline, enabling automated collection, transformation, and storage of housing data from government sources. Emphasis on end-to-end ETL, documentation, and readiness for analytics.
April 2025 monthly performance summary for dataforgoodfr/13_odis: Delivered an end-to-end Social Housing Data Extraction Notebook and S3 upload pipeline, enabling automated collection, transformation, and storage of housing data from government sources. Emphasis on end-to-end ETL, documentation, and readiness for analytics.
March 2025 monthly summary for dataforgoodfr/13_odis: Delivered a new data extraction capability for social housing analytics to enable regional and municipal analysis via a dedicated CSV.
March 2025 monthly summary for dataforgoodfr/13_odis: Delivered a new data extraction capability for social housing analytics to enable regional and municipal analysis via a dedicated CSV.

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