https://uditasopa.netlify.app/tag/gis-data-engineering/GIS Data EngineeringWowchemy (https://wowchemy.com)en-us2026Tue, 01 Sep 2026 00:00:00 +0000https://uditasopa.netlify.app/media/avatar.pnghttps://uditasopa.netlify.app/tag/gis-data-engineering/https://uditasopa.netlify.app/experience/nestai/Tue, 01 Sep 2026 00:00:00 +0000https://uditasopa.netlify.app/experience/nestai/<h2 id="geospatial-data-engineering-for-physical-ai">Geospatial Data Engineering for Physical AI</h2> <p>At NestAI, I work as a GIS Data Engineer, building geospatial data infrastructure for Physical AI and autonomous systems. My work focuses on making spatial data easier to organize, process, discover, and serve for AI research and operational applications.</p> <h3 id="role-focus">Role Focus</h3> <ul> <li><strong>Geospatial pipelines</strong>: Building data workflows for spatial datasets, including Earth observation imagery and other raster and vector data.</li> <li><strong>Catalogues and data architecture</strong>: Organizing and making geospatial assets discoverable through STAC-based catalogue infrastructure.</li> <li><strong>Geospatial data services</strong>: Serving spatial data through standards-based APIs and map applications.</li> <li><strong>Data quality and reliability</strong>: Supporting consistent, reliable data flows for downstream analytics and AI workflows.</li> <li><strong>Cross-functional engineering</strong>: Working with engineering and AI teams to make geospatial data usable in their workflows.</li> </ul> <h3 id="software-and-tools">Software and Tools</h3> <ul> <li><strong>pgSTAC</strong>: PostgreSQL-backed STAC catalogue infrastructure for managing and querying geospatial assets.</li> <li><strong>Apache Polaris and Apache Iceberg</strong>: Catalogue and table-format tooling for managing interoperable analytical data.</li> <li><strong>OGC APIs</strong>: Open standards for interoperable access to geospatial data and services.</li> <li><strong>TiTiler</strong>: Dynamic tile services for visualizing cloud-optimized geospatial raster data.</li> <li><strong>GDAL</strong>: Geospatial data processing and format interoperability for raster and vector datasets.</li> </ul>