Hire GIS Developer
7+ Years Building Production Systems | Backend Architecture & Full-Stack Solutions
I work with geospatial data to build mapping solutions, spatial analysis tools, and location-based applications.
GIS work I take on: GeoDjango applications with PostGIS for point-in-polygon queries, nearest-neighbor searches, and spatial aggregations; Leaflet or Mapbox GL JS interactive maps with clustered markers and real-time data layers; GDAL and Shapely pipelines for processing shapefiles, GeoTIFFs, and OSM extracts; and spatial query optimization for PostGIS tables where missing GIST indexes turn 200ms queries into 30-second table scans. I also build tile servers for large datasets where serving raw GeoJSON kills browser performance, and integrate Nominatim for geocoding and Overpass API for OSM data.
Let's Build Together
Quick Response | Full Transparency & NDA Protection
Companies I've Worked With
Trusted by innovative teams and forward-thinking organizations
Start a Conversation
Let's Talk About Your ProjectTechnical Expertise
7+ years of hands-on experience across the full development stack
GIS Applications That Handle Real Spatial Data at Scale
Spatial data has unique performance and correctness requirements most developers underestimate.
Point-in-polygon check against 500,000 geometries without a GIST index. Nearest-neighbor search doing sequential scans. Maps that time out before loading.
GIST index on every geometry column queried spatially. ST_DWithin with a spatial index instead of ST_Distance in a WHERE clause. Query execution time cut from seconds to milliseconds.
Data in EPSG:4326 measured in degrees but distance calculated as if it were meters. Results are off by a factor of 100,000. Nobody notices until a map feature is in the wrong country.
All input data CRS audited with QGIS and PyProj before ingestion. Reprojection to the correct CRS applied consistently. ST_Transform used in PostGIS queries where CRS mixing is unavoidable.
Serving 50MB GeoJSON to the browser for a map layer. Leaflet rendering 100,000 features freezes the browser.
Martin or pg_tileserv serving vector tiles from PostGIS. Mapbox GL JS renders tiles at the zoom level — only the visible data is loaded. Map stays interactive regardless of dataset size.
GDAL import script crashes on 2GB shapefiles. Geometry errors in the source data cause silent import failures. Missing data nobody catches for weeks.
GDAL-based import in chunks with geometry validation (IsValid check) and error logging per feature. Bad geometries repaired with ST_MakeValid where possible. Import report shows success count, error count, and specific failures.
Full-time hiring takes 2–3 months of recruiting, interviews, and notice periods. Your roadmap sits idle.
No recruiting pipeline, no notice period. Reach out today and we can be writing code by end of week.
Account managers relay messages to developers you've never spoken to. Feedback takes days to reach the person building.
You talk directly to me — the person writing every line. Slack, email, or video. No middlemen, no message relay.
Ready to build your GIS application?
Let's Talk About Your ProjectHow It Works
A straightforward process built for fast starts and transparent delivery.
Tell Me About Your Project
Send the project form with your requirements, timeline, and what success looks like. I respond within 24 hours with questions and a scoping proposal.
Agree on Scope & Rate
We align on deliverables, timeline, and engagement model — hourly, fixed-price, or retainer. A signed agreement before any code is written.
PostGIS Setup + Spatial Data Audit
PostGIS extension enabled, GIST indexes designed for the query patterns. Input data CRS audited in QGIS. EXPLAIN ANALYZE on planned spatial queries before writing application code.
GeoDjango Models + Spatial API Development
GeoDjango models with GeometryField types, spatial lookups (intersects, dwithin, contains) used in QuerySets. Leaflet or Mapbox GL JS frontend renders API responses. Each milestone includes a working map interaction.
Delivery: Indexed PostGIS + Documented Spatial API
GIST indexes verified, spatial query benchmarks documented, GeoJSON API endpoints documented with example responses. QGIS project file included for any future data processing.
Transparent process, no surprises, no scope creep without discussion.
Code, IP, repository, deployment credentials — all yours from day one.
Daily or weekly async updates. You always know what's built, what's next, what's blocked.
Common Questions
How quickly can I start?
Within 24–48 hours after scope is agreed.
How do we communicate?
Directly — Slack, email, or video. No account managers or relay chains.
What if requirements change?
Changes discussed openly — scope and timeline impact agreed before proceeding.
Who owns the code?
You do. Full IP ownership transferred on delivery. No strings attached.
Ready to move past the hiring bottleneck?
Let's Talk About Your ProjectRecommendations
I start every project with a quick discovery call to understand your goals and recommend the best tech solution. Here’s what clients and coworkers say about working with me as a Python Django developer.
Dhruval Patel
Data Engineer | Software Engineer | Python | SQL | ML | Backend
Kamlesh Kasambe
Full Stack Developer
Pricing & Rates
Transparent, flexible pricing that scales with your project complexity and needs
What Affects Service Rate
Project Complexity
Simple CRUD apps differ from microservices architecture or real-time systems.
Technical Responsibility
Architecting systems costs more than executing well-defined tasks.
Time Commitment
Long-term engagements (retainers) may have different rates than hourly work.
Team Scaling
Managing additional developers or handling team coordination increases cost.
Ongoing Support
Maintenance, monitoring, and continuous improvements have different pricing models.
Engagement Models
Perfect for smaller projects, quick fixes, or when scope isn't fully defined. You pay only for time spent.
Clear scope, defined deliverables, and fixed price. Great when you know exactly what you need.
Ongoing monthly commitment for continuous work, maintenance, or on-call support. Lower rates for predictable work.
Pricing is always discussed upfront and aligned with scope. You'll know exactly what you're paying for and why. No unexpected bills, no vague fees.
Pricing Questions
Can I get a discount for longer engagements?
Yes. Retainer arrangements and long-term commitments typically have lower rates than hourly work, reflecting the stability and predictability.
Do you offer fixed-price projects?
Absolutely. If your project scope is clear and defined, i can agree on a fixed price upfront with specific deliverables and timeline.
What if scope changes mid-project?
We discuss and adjust transparently. Changes are tracked, impact is calculated, and i align on new pricing or timeline before proceeding.
Do rates go up for more complex work?
Yes. Complex architecture, real-time systems, or leadership responsibilities command higher rates. This reflects the skill and accountability required.
Do you offer payment plans or installments?
We can discuss flexible payment schedules for larger projects. Typically, installments align with project milestones and deliverables.
How do i determine the final rate?
During our initial conversation, I'll understand your project scope, complexity, and needs. Then i'll discuss what makes sense and agree on pricing.