Geospatial Intelligence Platform
A geospatial application combining enterprise location data with interactive maps, spatial queries, configurable layers, geofencing, weather information and automated alerts.
- 01
System overview
The application brought enterprise location data into an interactive mapping experience. Spatial queries and configurable map layers helped users explore locations, while geofencing, weather information and automated alerts connected what appeared on the map to background processing.
- 02
My contribution
I led technical implementation while remaining hands-on across backend services, frontend mapping, spatial processing, data transformation, Azure integration and production support.
- 03
Engineering challenge
A map is only one view of a larger data system. Live external feeds, spatial boundaries, background processing and user-facing visualization need to stay consistent. Differences in data freshness, coordinate representation and processing time make that consistency harder than simply rendering points on a map.
- 04
Architecture and approach
The generic flow starts with location data stored and queried through SQL Server Spatial, exposed by .NET services and presented with Azure Maps. External weather and event feeds provide additional context. Geofence processing and background workers or Azure Functions connect spatial conditions to targeted notifications. The flow describes responsibilities rather than private integration details.
Generic flow · illustrative only - Enterprise location data
- SQL Server Spatial
- .NET APIs / services
- Azure Maps + external weather / event feeds
- Geofence processing
- Background workers / Azure Functions
- Targeted notifications
- 05
Engineering priorities
Spatial processing, feed ingestion and visualization need clear contracts. A user-facing layer should make data freshness understandable, while background processing needs to account for delayed or unavailable external inputs. Keeping these concerns distinct makes both spatial correctness and operational behavior easier to inspect.
- 06
Lessons and takeaways
Geospatial software combines data engineering with interface design. Reliable alerts depend on the meaning and freshness of the underlying data, not just the accuracy of a boundary calculation. A clear separation between spatial queries, external feeds and presentation helps keep that complexity manageable.