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 portfolio project highlights industry best practices in data engineering and analytics.
The data architecture for this project follows Medallion Architecture Bronze, Silver, and Gold layers:
- 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.
This project involves:
1.Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers. 2.ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse. 3.Data Modeling: Developing fact and dimension tables optimized for analytical queries. 4.Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.
- SQL Development
- Data Architect
- Data Engineering
- ETL Pipeline Developer
- Data Modeling
- Data Analytics
Develop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.
- 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.
- Ingegration: 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 stackeholder and analytics teams.
Develop SQL-based analytics to deliver detailed insights into :
- Customer Behavior
- Product Performance
- Sales Trends These insights empower stackholders with key business metrics, enabling strategic decision-making.
Let's stay in touch! Feel free to connect with me on the following platforms:
This project is licensed under the MIT Licence. You are free to use, modify, and share this with proper attribution.
Hi there! I’m Muhammed Fazal, a Computer Science engineering student driven by a deep passion for data analytics, technology, and innovation.