This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights

Data Architecture

Bronze Layer: Stores raw data as-is from the source systems. Data is ingested from CSV Files into SQL Server Database. Silver Layer: This layer includes data cleansing, standardization, and normalization processes to prepare data for analysis. Gold Layer: Houses business-ready data modeled into a star schema required for reporting and analytics.

PROJECT OVERVIEW

This project involves:

Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers. ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse. Data Modeling: Developing fact and dimension tables optimized for analytical queries. Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.

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 source systems (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; historization of data is not required. Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.