📊 Modern Data Warehouse & Analytics Project

Welcome to my portfolio project showcasing the design and implementation of a modern data warehouse and analytics solution using SQL Server. This project demonstrates how raw operational data can be transformed into valuable business insights using a layered architecture and robust ETL processes.

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🧱 Architecture Overview

This solution follows the Medallion Architecture (Bronze, Silver, Gold) to structure the data transformation process effectively:

• 🔹 Bronze Layer: Raw data ingested directly from CSV files into SQL Server — no transformation applied.
• 🔘 Silver Layer: Data cleaning, validation, and standardization to create a reliable and query-friendly dataset.
• 🟡 Gold Layer: Business-ready analytical data modeled into a Star Schema, optimized for reporting and decision-making.

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🚀 Project Highlights

This end-to-end project includes:

• ETL Development: Building custom SQL-based pipelines to extract, transform, and load data from CRM and ERP sources.
• Dimensional Modeling: Creating Fact and Dimension tables to support analytical workloads.
• SQL Analytics: Writing queries to analyze customer behavior, sales performance, and product trends.
• Best Practices: Implementation of naming conventions, modular scripts, and clear documentation to mirror real-world engineering standards.

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💡 Key Skills Demonstrated

This project reflects responsibilities aligned with roles such as:

• Data Engineer
• SQL Developer
• ETL Developer
• BI/Data Analyst
• Data Architect

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🧰 Tools & Resources

• SQL Server Express – Lightweight database server.
• SQL Server Management Studio (SSMS) – GUI for database management and development.
• CSV Datasets – Sample ERP and CRM data used as source inputs.
• GitHub – Version control and project collaboration.
• Draw.io – Used for designing architecture, ETL flow, and schema diagrams.

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🎯 Project Objectives

Data Engineering Focus:

• Ingest data from CRM and ERP source systems.
• Cleanse and integrate datasets for unified analytics.
• Apply star schema modeling for optimized querying.

Data Analytics Focus:

• Analyze:
  • 📈 Sales Trends
  • 🧍 Customer Behavior
  • 📦 Product Performance
• Write SQL queries and build reporting logic to drive business decisions.

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☕ Let’s Connect

If you're interested in learning more or collaborating, feel free to connect with me on LinkedIn or reach out!

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