About Me
I'm a GIS Database Engineer who designs cloud-integrated geospatial systems that turn complex data into actionable intelligence. My work combines Python automation, AWS infrastructure, and geospatial analytics to support national research and environmental initiatives. I focus on creating scalable, resilient tools that help organizations better visualize, understand, and protect our planet.
Professional Experience
GIS Database Engineer
Develop Python-based geoprocessing tools for transportation and spatial datasets, automating workflows for national geospatial programs. Manage geodatabases with ArcGIS Enterprise and PostgreSQL; built replica-sync automation with integrated validation and email reporting. Improved operational efficiency across nationwide datasets, reducing manual QA/QC time by over 30%.
Digital Marketing & Systems Specialist
Led website development and digital rebranding to enhance user engagement and lead generation. Automated data tracking through Power Apps and Microsoft Lists; redesigned company branding across platforms. Increased web traffic and lead conversions through integrated design and workflow automation.
GIS Developer/Automation Support
Developed geoprocessing workflows and automated data analysis using Python and AWS tools. Conducted data validation and user-acceptance testing for geospatial applications; built visual dashboards with ArcGIS, Tableau, and Power BI. Strengthened data accuracy and decision-making by unifying automation with analytics visualization.
Geographer
Designed Python tools for spatial analysis and data-quality control supporting nationwide geographic programs. Developed quality-control systems and completed advanced training in ArcPy and Machine Learning. Contributed to the modernization of federal geographic datasets and analytical pipelines.
Resume
Download my complete professional resume for detailed information about my experience and qualifications.
Download Resume (PDF)Key Accomplishments
GIS & Geospatial Expertise
AWS Certified Cloud Practitioner (December 2023) specializing in ArcGIS Enterprise, PostgreSQL geodatabases, and Python automation for national geospatial and research programs.
Digital Systems Integration
Developed automation scripts, synchronization systems, and cloud-based dashboards that streamlined data delivery and visualization across enterprise teams.
Research & Development
Published research on climate analysis and paleoclimatology, contributed to NASA DEVELOP, and authored over 200 geoscience resource summaries for NOAA — connecting scientific data to actionable environmental insight.
Technical Skills
Comprehensive expertise across cloud computing, GIS systems, data analysis, and full-stack development.
Programming & Automation
Cloud & Infrastructure
GIS & Spatial Systems
Data & Analytics
Enterprise & Tools
Orbital Shell Visualization
Interactive 3D visualization demonstrating orbital tract concepts for LEO, MEO, and GEO zones using advanced geospatial modeling.
Orbital Zoning Framework (OZF)
This framework presents a conceptual space geography system that organizes near-Earth space into segmented orbital tracts — discrete, mappable volumes defined by altitude, inclination, and right ascension. Each tract represents a spatial unit within a larger three-dimensional zoning architecture designed for satellite mission planning, space traffic management, and regulatory coordination. The model illustrates how orbital environments can be indexed, visualized, and analyzed through geospatial segmentation, forming the basis of a policy-ready orbital mapping framework.
🛰️ LEO (Low Earth Orbit) - 160-2000km
LEO-A550-I53-RAAN0_30
Example: A Starlink satellite at 550km altitude passes through this tract every 95 minutes, providing internet coverage to rural areas below.
System Importance: LEO tracts enable precise tracking of 4,000+ active satellites, preventing collisions in the most congested orbital zone. Critical for managing mega-constellations and ensuring sustainable space operations.
🛰️ MEO (Medium Earth Orbit) - 2000-35,786km
MEO-A20200-I56-RAAN180_185
Example: GPS Block III satellite in this tract completes one orbit every 12 hours, maintaining precise timing signals for global positioning within 3 meters accuracy.
System Importance: MEO tract management ensures continuous GPS coverage for $1.4 trillion in economic benefits annually. Prevents signal interference and maintains the precision timing critical for financial markets, transportation, and emergency services.
🛰️ GEO (Geostationary Orbit) - 35,786km
GEO-TOROIDAL-RAAN0_30-T1-P1
Example: GOES-18 weather satellite remains fixed above the Pacific, continuously monitoring hurricanes and providing 24/7 weather data to NOAA for disaster preparedness.
System Importance: GEO tract allocation is internationally regulated by the ITU. Each orbital slot is worth billions in telecommunications revenue. This system prevents interference between nations' satellites and ensures equitable access to this finite resource for global communications infrastructure.
Technical Implementation
- CesiumJS 1.109 - WebGL-based 3D geospatial rendering engine
- CZML Data Format - 33,168 validated orbital tract entities
- AWS Amplify - Serverless deployment and CI/CD pipeline
- Local Asset Optimization - Self-hosted Cesium build for performance
- Mobile-Responsive Design - Adaptive loading based on device capabilities
- Security Hardening - Input validation, XSS prevention, CSP compliance
Real-World Applications
- Constellation Management - Starlink, OneWeb orbital coordination
- Space Traffic Control - NASA/ESA collision avoidance protocols
- Launch Window Planning - SpaceX, Blue Origin trajectory optimization
- Regulatory Framework - FCC spectrum allocation and orbital slots
- Insurance & Risk Assessment - Satellite collision probability modeling
- Defense Applications - Space domain awareness and asset protection
Get In Touch
Interested in discussing GIS development, geospatial automation, or cloud infrastructure projects? Let's connect to explore how we can work together.