Project Overview

This project is an end-to-end retail sales analytics workflow built using MySQL, Python, Azure Blob Storage, Azure Data Factory, Azure SQL Database, and Power BI. It focuses on moving raw sales data through a practical pipeline and turning it into business-ready insights.

Problem Statement

Retail sales data is often available in raw transactional form, but it is not directly useful for business reporting.

Goal:

• Clean, move, store, and analyze retail sales data
• Study category performance, payment behavior, discount impact, and sales channel trends

Tools Used

• MySQL
• Python
• Pandas
• Jupyter Notebook
• Azure Blob Storage
• Azure Data Factory
• Azure SQL Database
• Power BI
• Power BI Service