Global Retail Inc. End-to-end Lakehouse (Medallion Architecture)

 

Company Background
Global Retail Inc. is a multi-regional retail organization operating across diverse product categories and customer segments. The company depends on transactional sales data to track regional performance, identify top-selling products, and monitor revenue trends over time.

Project Overview
An end-to-end, automated, and scalable analytics platform was designed using a modern Lakehouse architecture. The solution transformed raw Azure SQL data and supporting files into a Power BI dashboard, integrating incremental ingestion, Bronze–Silver–Gold transformations, star schema modeling, and orchestrated refresh workflows to ensure reliable and up-to-date analytics.

Problem Statement
Analytical refreshes were manual and disconnected from ingestion pipelines. Data freshness was uncertain, reducing trust in reports. There was no automated dependency management across ingestion, transformation, and reporting layers. Business users lacked flexibility to analyze sales by region, product, or time, and downstream failures were not proactively communicated.

Solution Overview
A Microsoft Fabric–based Lakehouse solution was implemented with automated ingestion, layered transformations, dimensional modeling, and orchestrated refresh dependencies to deliver consistent and reliable analytics to Power BI.

Business Outcomes
A fully automated analytics pipeline was delivered, eliminating manual refresh dependencies. Reporting accuracy and confidence in data freshness improved significantly. Business users gained self-service analytics capabilities, and a production-ready, scalable analytics workflow was established using Microsoft Fabric.