End-to-End Data Warehouse & Analytics Project | SQL Server + Power BI

🚀 End-to-End Data Warehouse & Analytics Project | SQL Server + Power BI

This is a full-scale Data Warehouse and Analytics project, designed and implemented using industry-standard best practices.

This project demonstrates the complete lifecycle of a modern data warehouse — from raw data ingestion to business-ready analytics and executive dashboards.

🏗️ Data Architecture

The solution is built using the Medallion Architecture:

1. Bronze Layer

Raw data ingested from multiple source systems (ERP & CRM)

CSV-based ingestion into SQL Server

No transformations applied (source-of-truth preservation)

2. Silver Layer

Data cleaning, validation, and standardization

Removal of duplicates and data quality issues

Data prepared for analytical consumption

3. Gold Layer

Business-ready data modeled using a Star Schema

Creation of Fact and Dimension tables

Optimized for BI and analytical workloads

🔧 Technical Implementation

SQL Server is used as the analytical data warehouse

End-to-end ETL pipelines built using SQL

Fact table: Gold Fact Sales

Dimension tables: Gold Dim Customer, Gold Dim Product

Custom DimDate table created for time intelligence

Clear separation of concerns between ingestion, transformation, and reporting layers

📊 BI & Analytics (Power BI)

The Gold Layer was connected to Power BI using DirectQuery, followed by proper data modeling and relationship design.

I designed a 3-page enterprise-style dashboard suite, each page answering a specific business question:

1. Executive Sales & Finance Summary (The “Why”)

High-level performance tracking and growth analysis

KPIs: Total Sales, COGS, Gross Margin, Margin %, YTD Sales, YoY Growth

Trend analysis for strategic decision-making

2. Product & Inventory Deep Dive (The “What”)

Product performance and sales mix analysis

KPIs: Quantity Sold, Units per Order, Average Price

Identification of high-value and high-cost products

3. Customer & Market Analysis (The “Who & Where”)

Customer behavior and demographic insights

KPIs: Total Customers, Orders per Customer, RFM segmentation

Geographic analysis using country-level sales data

🧠 Key Skills Demonstrated

Data Warehousing & Architecture Design

SQL Development & ETL Pipelines

Star Schema & Dimensional Modeling

Time Intelligence with Date Dimensions

Power BI Modeling, DAX, and Dashboard Design

Business-Oriented Analytics & Storytelling

This project reflects how modern enterprises design scalable data platforms and translate raw data into actionable business insights.

I’m continuously refining this project further with performance tuning, advanced DAX patterns, and additional analytical layers.
#DataWarehouse

#DataEngineering

#SQLServer

#PowerBI

#BusinessIntelligence

#Analytics

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