Multi Restaurant Food Delivery Analytics and Engineering Capstone Project with SQL

Group Category: Capstone Project

Product Category: Database Design & Development

Sub Category: PostgreSQL

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
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Customer
Customer
| CSV

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.
Cart
Cart
| CSV

Description:

  • Stores information about each shopping cart created by a customer.
  • A cart holds items before an order is placed.
  • Includes customer ID, creation time, and status (active or not).
  • Helps track what customers add to their cart and whether they complete the purchase.
Cuisines
Cuisines
| CSV

Description:

  • This file lists all types of cuisines (like Italian, Indian, Chinese, etc.) available on the platform.
  • Each cuisine has a name, description, and a unique ID.
  • Helps group restaurants and menu items by cuisine type.
  • Used to filter restaurants or suggest food options to customers.
Delivery partner
Delivery partner
| CSV

Description: 

  • Lists all delivery partners who deliver food orders.
  • Has their names, contact details, ratings, and whether they are active or not.
  • Used to assign deliveries and track performance.
  • Helps in managing and improving delivery operations.
Restaurants
Restaurants
| CSV

Description:

  • Contains details of all restaurants listed on the platform.
  • Includes restaurant name, address, phone number, status, and rating.
  • Used to show restaurant information to customers.
  • Helps track restaurant activity, performance, and availability.
User Address
User Address
| CSV

Description:

  • Stores all customer delivery addresses.
  • Includes street, city, state, postal code, and country.
  • Shows which address a customer used for an order.
  • Helps with delivery management and address-based analysis.
Menu Items
Menu Items
| CSV

Description:

  • Lists all food items that restaurants offer.
  • Includes item name, description, price, and if it’s available or not.
  • Also shows if it’s vegetarian or non-vegetarian and how long it takes to prepare.
  • Helps display restaurant menus and track which dishes sell best.
Orders
Orders
| CSV

Description:

  • Contains details of every food order placed on the platform.
  • Includes customer ID, restaurant ID, total price, order status, and payment info.
  • Tracks when an order was placed, completed, or cancelled.
  • Used to measure sales, customer activity, and overall platform performance.
Payments
Payments
| CSV

Description:

  • Stores details of all payments made for orders.
  • Includes payment amount, method (like card or wallet), and payment status.
  • Used to confirm successful transactions and manage refunds.
  • Helps with financial tracking and payment analysis.
Reviews
Reviews
| CSV

Description:

  • Contains customer reviews for food items.
  • Includes the rating (1–5), written feedback, and which menu item it’s for.
  • Helps understand what customers like or dislike.
  • Used to improve menu items and customer satisfaction.
     
Cart Items
Cart Items
| CSV

Description:

  • Lists the food items added to each cart.
  • Includes item name, quantity, and when it was added.
  • Connects to both the cart and the menu item tables.
  • Helps analyze what customers add to carts and how many items they buy.
Delivery Details
Delivery Details
| CSV

Description:

  • Stores information about the delivery process for each order.
  • Includes delivery partner ID, delivery time, and delivery status.
  • Helps track the time it takes to deliver food and whether deliveries are successful.
  • Useful for improving delivery speed and service quality.
Order Items
Order Items
| CSV

Description:

  • Lists all the food items included in each order.
  • Includes item name, price, quantity, and order reference.
  • Helps see what items are selling the most.
  • Used for sales tracking, revenue reports, and popular item analysis.
Multi Restaurant Food Delivery Analytics and Engineering Capstone Project with SQL

$15.00 $8.99 40% OFF

Topics: Advanced SQL, Database Engineering, Query Optimization, Data Analysis with SQL

Languages: English

Skills: Window Functions, CTEs, Stored Procedures, Triggers and Constraints, Index Optimization, Transactional SQL, Role-Based Security

Business Domain: Food Delivery and Operations Analytics

Level: Intermediate

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