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Data Warehouse and Analytics Project

Welcome to the Data Warehouse and Analytics Project repository! This Project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights . Designed as a portfolio project highlights industry best practices in data engineering and analytics.

🏗️ Data Architecture

The data architecture of this project follows the Medallion Architecture (Bronze, Silver, Gold).

High Level Data Architecture

Project Requirements

Building the Data Warehouse (Data Engineering)

objective

Develop a modern data warehouse using SQL server to consolidate sales data , enabling analytical reporting and informed decision-making.

Specifications

Data Sources: Import data from two sources (ERP and CRM) provided as CSV files. Data Quality: Cleanse and resolve data quality issues prior to analysis. Integration: Combine both sources into a single , user-friendly data model designed for analytical queries. Scope: Focus on the latest dataset only;historzation of data is not required. Documentation: Probide clear documentation of the data model to support both business stakeholders and analytics teams.

BI: Analytics & Reporting (Data Analytics)

Objective

Develop SQL-based analytics to deliver detailed insights into: Customer Behavior Product Performance Sales Trends

These insights empower stakeholders with key business metrices , enabling strategic decision-making.

License

This project is licensed under the [MIT License].(LICENSE).You are free to use , modify , and share this project with proper attribution.

About Me

Hi there! I'm Nilesh Hake, a passionate BCA student with a strong interest in Data Engineering, Data Analytics, and Software Development. I enjoy building real-world projects that combine data processing, analytics, and clean system design.

I’m continuously learning and exploring tools like SQL Server, Python, Power BI, and Flask, and I love turning raw data into meaningful insights that support better decision-making.

This project reflects my ability to:

Work with multiple data sources

Perform data cleaning and integration

Build a structured data warehouse

Develop insightful SQL-based analytics

Document solutions clearly for both technical and business users

I believe in working hard, learning continuously, and building impactful solutions that solve real problems. Feel free to connect with me for collaboration, feedback, or opportunities!

About

Building a modern data warehouse with SQL Server , including ETL process, data modelling, and analytics.

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