Esri / ArcGIS Platform Engineering
The full Esri stack as an engineering platform, not a desktop tool — ArcGIS Enterprise and
ArcGIS Pro, arcpy Python automation, Workflow Manager, Experience Builder,
geoprocessing/GP services, and Arcade. We integrate ArcGIS into the enterprise the same way we
integrate any other production system: versioned, automated, and documented.
Geocoding & Location Data Quality
Multi-provider geocoding flows designed around the failure modes — we’ve evaluated
five geocoders head-to-head to pick the right blend for a platform. Address
deduplication, parcel data, and the data-quality plumbing that decides whether the pin lands on
the right building.
Geospatial Data Architecture
Storage schemas for map data that survive scale — GeoJSON and Parquet layouts, KML/KMZ
ingestion pipelines, and PostgreSQL/PostGIS-style schema design for map objects: lines, polygons,
markers, layers, features, and tracks. The data model underneath the map is the part that
actually decides the product.
Map-Driven Web & Mobile Products
Interactive map viewers and field tools users actually work in all day. We’ve run the
Mapbox vs Google Maps platform evaluation with real pricing analysis, and
designed offline mode for field crews who lose signal in the places the work happens.
Geospatial Processing at Scale
Satellite imagery-derived data processed through Databricks and Spark, with
hands-on evaluations of Apache Sedona, Shapely, and Rasterio, and commercial data sources such as
Ecopia and Precisely. When the geometry set outgrows one machine, the pipeline is the product.
GIS Security & Governance
Location data is sensitive data. We’ve authored the persona/permission authorization matrix
for an Esri Workflow Manager layer and secured GIS APIs behind WAF and API management —
so the map platform passes the same review as the rest of the enterprise.
