* Responsible for maintaining over 24 legacy web, desktop, and batch data processing applications.* Maintenance included resolving bugs, performance improvements, and minor feature enhancements.* Developed two new web applications with an Angular/ArcGIS JS API frontend and Java/Spring/Hibernate/Oracle/ArcSDE backend. * Developed two new batch data processing scripts in Python/Arcpy.* Created a public-facing ArcGIS Online Web AppBuilder application for the Adopt-A-Highway program's outreach activities.* Created an internal ArcGIS Portal widget for zooming to jurisdictions by name.* Lead four GIS technicians in a one-time process to geocode, review, and correct Adopt-A-Highway data (previously non-spatial) using a variety of methods (text lat/lng, highway network identifiers, geocoded addresses, and manual mapping). Lead six Adopt-A-Highway program experts in reviewing the mapped data.* On-boarded two new developers, including administrative and technical orientation.* Gave two presentations on technical topics to WisDOT developers on evaluating code quality and caching data in Angular.* Simplified application architectures by leveraging the ArcSDE SQL API, a first for WisDOT. * Created a proof-of-concept Continuous Integration and Continuous Deployment process for Python batch applications.* Worked on varying team sizes of 1-7 for projects. * Application domains included Adopt-A-Highway, highway access management, soil tests, stormwater management, as-built construction record management, and road sign asset management.* Frequently involved in collecting and refining customer requirements for projects.

Built and maintained an Ubuntu/Apache/Python/Django stackImplemented GitLab Continuous IntegrationImplemented server monitoring (Zabbix)Implemented code monitoring (Sentry for Javascript and Python)Implemented test-driven development practices in the officePerformed load testing (Apache JMeter)Full-stack, iterative application development, including databases, backend, and frontend; full lifecycle developmentDesigned application architecture and functional specifications to meet project goalsReleased geospatial data-driven applicationsAutomated geospatial data processing, modeling, analysis, and visualizationImproved code quality, increased code maintainability, and reduced dependence on external vendorsDirected other developers’ activities and taught co-workers new technologies

Designing geospatially enabled websites to support funded research. Did full stack development on an Ubuntu/PostgreSQL/Django/HTML/JS stack.