Multi Restaurant Food Delivery Analytics and Engineering Capstone Project with SQL
Group: Capstone Project
|Product Category: Database Design & Development
|Sub Category: PostgreSQL
About this Product
Master real-world SQL by analyzing restaurant performance, delivery efficiency, and customer behavior using production-grade datasets.
Business Overview:
This SQL Capstone simulates a real food delivery platform like Swiggy or Uber Eats. Learners work with a live-style transactional database covering customers, restaurants, menu items, orders, deliveries, reviews, payments, and refunds. The project is focused entirely on SQL—not dashboards or third-party tools—ensuring mastery of actual industry use cases such as order analytics, operational performance, cancellations, customer insights, transactions, and database optimization.
Product Highlights:
- Real multi-table database with 18 interconnected entities
- Covers SQL essentials to advanced topics: data validation, analytics, performance tuning, indexing, transactions, and security
- Includes stored procedures, triggers, CTE-based analytics, and role-based access control
- Designed like a real company assignment or technical interview case study
- Ideal for SQL Analysts, Data Engineers, and Backend Developers building portfolio-ready skills
Learning Outcomes:
By completing this capstone, you will be able to:
- Understand and manage a complete SQL database lifecycle, from data validation to optimization
- Write business-grade SQL queries using joins, aggregations, CTEs, window functions, and subqueries
- Implement transactions, rollbacks, triggers, and stored procedures for reliability and automation
- Perform operational analysis like delivery efficiency, restaurant performance, customer retention, order cancellations, and refund tracking
- Apply role-based security principles to grant controlled access & protect production data
Resources
Description:
- Contains details of every customer who uses the platform.
- Includes first name, last name, email, phone number, and account status.
- Used to identify and contact customers.
- Helps in tracking customer activity, orders, and preferences.
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