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📊 Data Warehouse & Analytics Project

Welcome to my Data Warehouse and Analytics Project repository! 🚀
This portfolio project demonstrates a complete data warehousing and analytics solution, from raw data ingestion to business-ready insights. It reflects industry best practices in data engineering, SQL development, and analytics.


🏗️ Data Architecture

The project follows the Medallion Architecture (Bronze → Silver → Gold):

  • Bronze Layer: Raw data ingestion from ERP and CRM CSV files into SQL Server.
  • Silver Layer: Data cleansing, normalization, and transformation for consistency.
  • Gold Layer: Business-ready Star Schema with fact and dimension tables designed for reporting and analytics.

📖 Project Overview

This project showcases:

  • Data Architecture → Designing a modern warehouse with Medallion layers.
  • ETL Pipelines → Building SQL-based pipelines to extract, transform, and load data.
  • Data Modeling → Implementing star schema with fact & dimension tables.
  • Analytics & Reporting → Creating SQL queries and dashboards for actionable insights.

🎯 Skills Demonstrated

This project highlights practical skills in:
✅ SQL Development
✅ Data Architecture & Modeling
✅ ETL Pipeline Design
✅ Data Engineering (SQL Server + SSMS)
✅ Data Analytics & Reporting


🛠️ Tools & Resources

  • Datasets → ERP & CRM CSV files
  • SQL Server Express → Lightweight database engine
  • SQL Server Management Studio (SSMS) → Database management & querying

🚀 Project Requirements

Objective
Build a modern SQL Server Data Warehouse to consolidate sales data, enabling analytics and reporting for informed decision-making.

Specifications

  • Data Sources: Import CSV data from ERP & CRM systems
  • Data Quality: Clean and standardize raw datasets
  • Integration: Merge sources into a unified star schema
  • Scope: Focus on latest dataset (no historization)
  • Documentation: Clear model documentation for stakeholders & analysts

📌 Deliverables

  • Modern Data Warehouse (Bronze, Silver, Gold)
  • Star Schema with fact and dimension tables
  • SQL-based ETL scripts

✨ This project is a hands-on demonstration of my Data Engineering journey, showcasing how raw data can be transformed into meaningful insights using modern data warehouse design.

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Building a modern data warehouse with SQL Server, ETL processes, data modeling and analysis.

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