Pest Control Management System (SaaS Backend)

A production-ready, multi-tenant SaaS backend built with Django and Django REST Framework, designed to manage end-to-end operations for pest control businesses.

DjangoDjango REST FrameworkPostgreSQLJWTREST APIsSaaSBackend

A real-world SaaS backend focused on scalability, clean architecture, and business-driven API design.

⚠️ This is a Private project. Contact me for Preview this project or Source Code.

💡 What I Built

This is a production-ready, multi-tenant SaaS backend designed to manage end-to-end operations for pest control businesses. The system enables multiple businesses to operate securely on a single platform with complete data isolation.

Core Features Implemented

  • Multi-tenant Architecture — Designed a secure, scalable architecture enabling multiple businesses to operate independently on a single platform with full data isolation using tenant-aware middleware and schema separation

  • Role-Based Access Control (RBAC) — Implemented comprehensive permission system with JWT authentication supporting SuperAdmin, Admin, Manager, and Technician roles with granular permissions, custom decorators, and permission-based API views

  • Advanced Client Management — Built complete CRM-style client management system handling individual, commercial, and industrial customers with detailed profile management, service history tracking, contact management, and custom fields

  • Service Lifecycle Management — Developed end-to-end service management including custom service types, intelligent scheduling with conflict detection, real-time execution tracking, technician assignment, status workflows, and completion verification

  • AMC Contract System — Implemented Annual Maintenance Contract functionality with flexible recurring service scheduling, automated billing cycles, contract renewal workflows, and proactive service reminders

  • Intelligent Inventory Management — Built comprehensive inventory tracking system with multi-location support, usage monitoring per service, consumption analytics, automated low-stock alerts, and purchase order management

  • Complete Invoice & Payment System — Designed full financial module with GST/tax calculation, multiple payment methods, partial payment tracking, overdue invoice management, automated payment reminders, and receipt generation

  • Modular Architecture — Structured the entire project using 8+ modular Django apps (accounts, clients, services, inventory, billing, reports, notifications) with environment-based settings for maximum scalability and maintainability

  • Database Optimization — Integrated PostgreSQL with 25+ well-defined relational models, optimized queries using select_related/prefetch_related, proper indexing, and database-level constraints for data integrity

  • API Documentation — Auto-generated API documentation using Django REST Framework's browsable API interface with detailed endpoint descriptions, request/response examples, and authentication requirements

  • Notification System — Built automated notification system for service reminders, low stock alerts, payment due notifications, and contract renewals using email and in-app notifications

  • Advanced Reporting — Implemented business intelligence features including revenue reports, service completion metrics, technician performance tracking, inventory consumption analysis, and client engagement statistics

🛠 Tech Stack

Backend Framework: Django 4.x, Django REST Framework 3.x
Database: PostgreSQL 14+ with PostGIS extensions
Authentication: JWT (JSON Web Tokens) with refresh token rotation
API Design: RESTful APIs with versioning support
Architecture: Multi-tenant SaaS with tenant-aware middleware
Caching: Redis for session management and performance optimization
Task Queue: Celery for background jobs and scheduled tasks
Storage: AWS S3 for file uploads and document management
Security: Django security middleware, CORS configuration, rate limiting
Code Quality: PEP 8 compliant, pre-commit hooks, comprehensive test coverage

🚀 Why This Project Matters

This project demonstrates my ability to:

  • Build real-world SaaS systems with production-grade quality
  • Design scalable backend architectures that can grow with business needs
  • Translate complex business workflows into clean, maintainable APIs
  • Write production-grade code following best practices and industry standards
  • Handle multi-tenant data isolation and security at scale
  • Implement comprehensive business logic including billing, contracts, and inventory management

🏗 Architecture Highlights

The system is built with:

  • Modular Django Apps — Each business domain (accounts, clients, services, inventory, billing, reports, notifications, analytics) is separated into independent apps with clear boundaries and responsibilities

  • Environment-Based Configuration — Different settings for development, staging, and production environments with proper secret management and environment variable handling

  • Secure Multi-Tenancy — Complete data isolation between tenant organizations using middleware-based tenant detection, schema separation, and row-level security

  • Relational Data Modeling — 25+ well-structured PostgreSQL tables with proper relationships (OneToOne, ForeignKey, ManyToMany), constraints, indexes, and database-level validations

  • API-First Design — All functionality exposed through clean, versioned REST APIs with proper serialization, pagination, filtering, and search capabilities

  • Authentication & Authorization — JWT-based stateless authentication with refresh token rotation, role-based permissions, object-level permissions, and API rate limiting

  • Background Task Processing — Celery workers handling async operations like email notifications, report generation, scheduled service reminders, and data aggregation

  • File Management — AWS S3 integration for scalable storage of invoices, service reports, client documents, and uploaded images

  • Caching Strategy — Redis caching for frequently accessed data, session management, and API response optimization reducing database load

  • Error Handling & Logging — Comprehensive exception handling with custom error responses, structured logging, and monitoring integration

  • Code Organization — Clean separation of concerns with models, serializers, views, services, and utilities in dedicated modules following Django best practices

📊 Technical Achievements

  • 25+ Database Models with optimized relationships and queries
  • 50+ API Endpoints covering all business operations
  • 8 Modular Django Apps for maintainable architecture
  • Multi-level Permission System with 4 distinct user roles
  • Automated Background Jobs for notifications and scheduled tasks
  • S3-based File Management for scalable document storage
  • Redis Caching Layer for performance optimization
  • Test Coverage with unit and integration tests
  • API Documentation with browsable interface
  • Production-Ready with proper error handling and logging

Note: This is a private commercial project. If you'd like to see a demo, discuss the architecture, or review the codebase, please get in touch.