Joram van der Vlist
Geologist turned OSGeo developer with a strong focus on Python-based backend development and spatial data engineering. I design and build robust solutions for processing and exposing geo- and sensor data through APIs and database-driven architectures.
Experienced in Python, REST APIs, PostgreSQL, Docker, and CI/CD (GitHub Actions, Azure). Previously responsible for the backend of an Azure-based GIS API integrating public spatial datasets into engineering workflows.
Currently deepening my expertise in OSGeo backend solutions to further strengthen my work in scalable, production-ready GIS systems. I combine analytical thinking with a drive to continuously learn, teach and improve.
Session
Spatial datasets originate in field measurements, yet the transformation from sensor reading to interoperable geospatial resource is often hidden in GIS workflows. This workshop makes that “first mile” tangible by guiding participants as they build and program their own hardware kit. The kit uses a microcontroller, GNSS module, and environmental sensor of choice. Measurements are transmitted to a provided Dockerized Python (FastAPI) and PostgreSQL backend, where they are exposed as GeoJSON Features. Emphasizing architectural clarity over complexity, the session demonstrates how structured JSON, REST APIs, and relational storage underpin scalable geospatial services, while outlining PostGIS and OGC API as natural extension paths within an open standards ecosystem.