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Kimberly Black

PROFILE

Kimberly Black

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
3
Lines of code
18,211
Activity Months3

Your Network

18 people

Work History

June 2025

2 Commits • 1 Features

Jun 1, 2025

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

1 Commits • 1 Features

Apr 1, 2025

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

1 Commits • 1 Features

Mar 1, 2025

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.

Activity

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Quality Metrics

Correctness90.0%
Maintainability87.6%
Architecture87.6%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSVJSONJinjaPythonSQLYAML

Technical Skills

AWS S3Data AnalysisData EngineeringData ExtractionData ModelingData ProcessingPandasPython ScriptingSQLdbt

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

dataforgoodfr/13_odis

Mar 2025 Jun 2025
3 Months active

Languages Used

CSVJSONPythonJinjaSQLYAML

Technical Skills

Data AnalysisData EngineeringAWS S3Data ExtractionData ProcessingPandas