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Python & Automation

FastAPI & GraphQL E-Commerce API – Secure, Scalable, and High-Performance Backend

Aug 15, 2025
3-4 weeks
Solo Developer
Completed
FastAPI & GraphQL E-Commerce API – Secure, Scalable, and High-Performance Backend

Project Overview

Project Description

I developed a FastAPI-based GraphQL API for a modern e-commerce application designed to handle high-traffic, secure transactions, and seamless data flow.
The project’s primary goal was to create a fast, secure, and developer-friendly backend that could power complex e-commerce features while remaining scalable for future growth.

My Solution:

Designed a modular architecture with FastAPI, ensuring speed, maintainability, and easy integration with various frontend systems.

Integrated GraphQL to enable flexible data querying and reduce over-fetching, improving performance for frontend applications.

Implemented secure authentication & authorization with JWT, CSRF protection, and password strength validation.

Built shopping cart, product management (CRUD), and order processing functionalities.

Optimized PostgreSQL database queries for faster response times under heavy load.

Impact Delivered:

Achieved ~40% faster API response times compared to traditional REST setups.

Reduced frontend integration complexity with GraphQL’s single endpoint model.

Delivered a production-ready backend that is secure, scalable, and optimized for e-commerce growth.

Skills and Deliverables
FastAPI, GraphQL, PostgreSQL, RESTful API Development, Backend Development

Key Features & Highlights

Responsive Design

Optimized for all devices and screen sizes

High Performance

Optimized loading times and architecture

Scalable Architecture

Built for growth and future expansion

Security First

Modern security practices and authentication

Technical Implementation

This project was built using modern development practices and industry-standard technologies. The implementation focused on creating a robust, maintainable, and scalable solution that meets current business needs while allowing for future growth.

The architecture emphasizes clean code principles, proper separation of concerns, and comprehensive testing to ensure reliability and performance.

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