
Kimberly Black developed and refined a social housing data pipeline for the dataforgoodfr/13_odis repository over three months, focusing on end-to-end extraction, transformation, and aggregation of government housing data. She engineered a Python-based ETL process using Pandas and SQL, automating the download, processing, and storage of regional datasets in AWS S3. Her work included designing reusable utilities, implementing commune-level aggregation, and introducing SQL macros and dbt models to standardize indicators across administrative levels. By aligning data flows from extraction to silver-layer modeling, Kimberly improved data quality, accessibility, and reporting accuracy, laying groundwork for scalable analytics and future gold-layer aggregation.
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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