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Saurabh DantaniFull Stack Developer
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BackendGeo-Routing

Food Delivery App Backend

Scalable backend system for food delivery platform with restaurant management, order processing, real-time delivery tracking, driver assignment algorithm, and payment processing. Built with clean modular architecture, rigorous automated testing, and comprehensive logging. Designed from the ground up for high reliability, security, and lightning-fast user interactions.

Source Code
Food Delivery App Backend - Full Stack Architecture & Implementation
The Challenge

Food delivery startups faced routing bottlenecks and delayed driver matching during peak dinner rush hours.

The Solution

Architected scalable backend microservices with geospatial indexing, driver proximity dispatch algorithms, and live order tracking.

The Impact

Real-time order lifecycle routing with sub-second driver dispatch and live GPS tracking.

Technologies & Tools

Node.jsExpress.jsMongoDBRedisSocket.ioStripeGoogle Maps API

Key Engineering Challenges

1Optimizing MongoDB $near geospatial queries for hundreds of moving delivery partners
2Managing high-frequency WebSocket location broadcasts without memory leaks
3Handling complex order status transitions (placed, preparing, picked up, delivered)
4Ensuring idempotency for credit card authorizations and restaurant payouts

Results & Measurable Outcomes

Reduced average driver dispatch time from 4 minutes to under 35 seconds
Handled 5,000+ peak orders per hour with zero server crashes
Broadcasted driver GPS coordinates with <200ms latency
Integrated automated driver tipping and payout accounting
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