Contact & Collaboration¶
Get In Touch¶
I'm always interested in discussing new opportunities, technical challenges, and collaborative projects. Whether you're looking for expertise in geospatial systems, data engineering, or cloud architecture, I'd love to hear from you.
Contact Information¶
Joshua N. Grant
Geospatial Systems Architect
Oak Ridge National Laboratory
Direct Contact¶
- Email: jngrant@live.com
- Phone: +1 (865) 803 3495
- Location: Knoxville, TN 37922, United States
Professional Networks¶
- LinkedIn: linkedin.com/in/joshuanagrant
- GitHub: github.com/sempervent
- Website: notjustadatum.blogspot.com
Areas of Expertise¶
Geospatial Systems Architecture¶
- GeoParquet data warehouse design
- Raster pipeline development
- IoT/Kafka/TimescaleDB geospatial tracking
- Decision support tool architecture
Data Engineering¶
- ETL pipeline modernization (cron β Kubernetes/Airflow)
- Real-time data processing with Kafka
- Cloud infrastructure optimization
- CI/CD pipeline development
Cloud Infrastructure¶
- AWS, GCP, Azure platform expertise
- Container orchestration (Docker, Kubernetes)
- Serverless architecture patterns
- Microservices development
Full-Stack Development¶
- Python, R, JavaScript development
- React, Vue, Flask, FastAPI frameworks
- Database design (PostgreSQL, MongoDB, TimescaleDB)
- API development and documentation
Collaboration Opportunities¶
Consulting Services¶
- Technical Architecture Review: System design and optimization
- Data Pipeline Modernization: Legacy system upgrades
- Cloud Migration Strategy: On-premises to cloud transitions
- Performance Optimization: Database and application tuning
Speaking & Training¶
- Technical Presentations: Geospatial data architecture
- Workshop Facilitation: Data engineering best practices
- Team Training: Cloud infrastructure and DevOps
- Mentoring: Career development in data science and engineering
Open Source Contributions¶
- Code Reviews: Technical feedback and improvements
- Project Collaboration: Joint development initiatives
- Documentation: Technical writing and knowledge sharing
- Community Building: Fostering technical communities
Project Collaboration¶
Research & Development¶
- Geospatial Data Science: Advanced spatial analysis
- IoT Data Processing: Real-time sensor data handling
- Machine Learning: Model development and deployment
- Blockchain Applications: Decentralized systems development
Industry Applications¶
- Environmental Monitoring: Climate and ecosystem data
- Urban Planning: Smart city data infrastructure
- Risk Assessment: Geospatial risk modeling
- Supply Chain: Logistics and tracking systems
Availability¶
Current Commitments¶
- Primary Role: Geospatial Systems Architect at Oak Ridge National Laboratory
- Research Focus: Advanced geospatial data warehouse architectures
- Active Projects: Real-time IoT tracking systems
Collaboration Preferences¶
- Remote Work: Fully remote collaboration capabilities
- Flexible Scheduling: Accommodating different time zones
- Long-term Projects: Sustained technical partnerships
- Quick Consultations: Rapid technical assessments
Response Times¶
- Email: Typically within 24-48 hours
- LinkedIn: Professional inquiries within 48 hours
- GitHub: Technical discussions as needed
- Phone: By appointment for detailed discussions
Next Steps¶
- Review Portfolio: Check out my Projects for technical examples
- Technical Background: Read my Professional Profile for detailed experience
- Best Practices: Explore the Best Practices section for proven methodologies
- Hands-on Tutorials: Follow the Tutorials for step-by-step implementations
- Reach Out: Use any of the contact methods above to start a conversation
Available Resources¶
Best Practices¶
- Python Package Development - Modern Python packaging with
uv - Docker & Compose - Production containerization
- Rust Development Environment - Senior-level Rust setup
- Geospatial Data Engineering - Spatial data management
- AWS Serverless Geospatial - Serverless spatial processing
- ETL Pipeline Design - Robust data pipelines
- FastAPI Geospatial - High-performance spatial APIs
- Web Performance Optimization - Core Web Vitals & SEO
Step-by-Step Tutorials¶
- PostGIS Geometry Indexing - Spatial database optimization
- PostGIS Raster Indexing - Raster data management
- RasterβVector Workflows - Hybrid spatial analysis
- parquet_s3_fdw with Multiple Backends - Object store integration
- GeoParquet with Polars - High-performance spatial analytics
- Kafka + TimescaleDB IoT Streaming - Real-time data pipelines
- R Shiny Geospatial Apps - Interactive spatial applications
- Monitoring with Grafana & Prometheus - Observability stack
Core Documentation¶
- Professional Profile - Detailed background and experience
- Projects Portfolio - Technical implementations and case studies
- Technical Documentation - Overview of methodologies and approaches