Note
🚧 Status: Pre-Launch / Active Development This organization is currently migrating legacy data and establishing new cloud-native workflows. Full portfolio and documentation will be available in Q2 2026.
Automated Workflows | Spatial Data Integrity | Intelligent Systems
Excehl Geospatial is a development studio dedicated to modernizing geospatial tradecraft. We focus on clean, reproducible workflows that bridge the gap between traditional Earth Science and modern Data Engineering.
Led by Jason Ehlenberger (GISP, IHO Cat B), the studio leverages over 20 years of experience in defense intelligence and hydrography to build systems that make spatial data more reliable, accessible, and actionable.
We are exploring how Cloud-Native architectures and AI agents can solve complex spatial problems. Our core pillars are:
- Data Integrity: Building "Single Source of Truth" systems using rigorous topology and validation logic.
- Automation: Replacing manual GIS tasks with Python, SQL, and API-driven ETL pipelines.
- Integration: Connecting disparate tools (Notion, ArcGIS, GitHub) into unified operational pictures.
Our projects explore the intersection of enterprise GIS and modern software engineering:
- Geospatial Engineering: Python (GeoPandas, Shapely, Rasterio, GDAL/OGR) and SQL (PostGIS, DuckDB).
- Cloud-Native Geospatial: Cloud-Optimized formats (COG, GeoParquet) and STAC catalogs.
- Esri Ecosystem: Advanced automation for ArcGIS Pro, ArcGIS Online, and Living Atlas.
- DevOps & CI/CD: GitHub Actions for automated testing, documentation, and reproducibility.
- Emerging Tech: Experimenting with Apache Sedona, generative AI agents, and semantic search for spatial data.
Active work lives in dedicated repositories across the ExcehlGeo organization. This repository (.github) serves as the central entry point and documentation hub.
- Personal Data Warehouse: A serverless system acting as a Single Source of Truth. Integrates Notion, GitHub, and external APIs to automate career data governance.
- [Project Name]: Another key tool or automation script (Placeholder).
We treat geospatial analysis as software development:
- Version Control: All development occurs in feature branches with strict review gates.
- Reproducibility: If it isn't scripted, it didn't happen. We use Make and Actions to ensure outputs can be recreated.
- Documentation: Knowledge is maintained in external systems (Notion/Docs) but linked here for context.
For detailed conventions, see the docs/ directory.
