
Developed shapefile handling utilities and metadata management features for the NYCPlanning/data-engineering repository, focusing on streamlining GIS data workflows. Leveraging Python and object-oriented programming, introduced a Shapefile class and file manager abstractions to standardize operations such as reading, writing, and validating shapefile metadata XML files. The implementation supports both zipped and unzipped shapefile packages, reducing manual intervention and improving data governance. Emphasized robust data handling and file I/O practices, with comprehensive testing to ensure reliability. This work enhanced the team’s ability to manage shapefile metadata efficiently, strengthening the overall data pipeline and supporting scalable geospatial data engineering processes.
June 2025: Key feature delivery in NYCPlanning/data-engineering focused on shapefile handling utilities and metadata management. Implemented utilities to read, write, and validate shapefile metadata XML, supporting both zipped and unzipped shapefile packages. Introduced Shapefile class and file manager abstractions to streamline shapefile operations. This work reduces manual steps, improves data governance, and strengthens GIS data pipelines.
June 2025: Key feature delivery in NYCPlanning/data-engineering focused on shapefile handling utilities and metadata management. Implemented utilities to read, write, and validate shapefile metadata XML, supporting both zipped and unzipped shapefile packages. Introduced Shapefile class and file manager abstractions to streamline shapefile operations. This work reduces manual steps, improves data governance, and strengthens GIS data pipelines.

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