Enterprise GIS, cloud, spatial data, development, integration, and GeoAI-aware delivery.

ArcGIS Enterprise ArcGIS Server Portal for ArcGIS ArcGIS Pro ArcSDE ArcGIS Desktop ArcGIS Online ArcGIS JS API ArcGIS GeoEvent Server Utility Network Enterprise geodatabases Feature services Map services Dashboards Mobile GIS Common operating picture Situational awareness

GeoServer QGIS PostGIS GeoPandas GeoJSON Open-source GIS server evaluation GeoServer-based service architecture Geospatial data processing Raster/vector concepts Spatial analytics Coordinate workflows Reference data workflows MapLibre

Microsoft Azure Azure architecture Azure administration Azure networking Azure compute Azure storage Azure governance AWS working knowledge Docker Windows Server Linux/Unix VMware vSphere Hyper-V Apache Tomcat Enterprise hosting Capacity planning High availability Hybrid infrastructure

PostgreSQL/PostGIS Oracle Database 11g/12c/21c Oracle Spatial MySQL SQL PL/SQL ArcSDE administration Schemas Domains Subtypes Data readiness Data quality GeoJSON CSV/Excel workflows Imagery data NGA imagery Commercial imagery ERDAS IMAGINE

Java JavaScript TypeScript Angular Python C# Node.js Spring Boot Spring Security Grails Hibernate/GORM REST APIs SOAP APIs HTML/CSS PrimeNG Maven Gradle Git/GitHub IntelliJ IDEA Eclipse IDE Visual Studio Code Codex / AI-assisted development

Apache NiFi Apache Kafka ArcGIS GeoEvent Server Geospatial ETL Event-driven GIS patterns GeoJSON-to-Oracle Spatial pipelines API integration Data ingestion Automation scripts Service validation Data validation Repeatable ingest workflows Pipeline testing SignalR MCP

Agile/Scrum Jira Confluence UML Lucidchart Requirements discovery MVP delivery Architecture tradeoffs CI/CD concepts JMeter Xcode Instruments Training Testing Production readiness Operational handoff RMF-aware environments Security+ CE DoD 8570-aligned environments

Microsoft AI Skills Fest Azure AI learning AI-assisted development workflows GeoAI/ML concepts Python/GeoPandas geospatial analytics Raster/vector ML awareness Data preparation for analytics/ML Remote sensing background Semantic segmentation Model serving LLM-assisted map workflows MCP tool design Prompt-to-action planning Human-in-the-loop review Explainable risk scoring