This project demonstrates a multi-layered data warehouse architecture implemented using SQL. It follows the Bronze → Silver data pipeline pattern, which is a best practice in modern data engineering for building reliable, scalable, and maintainable analytics systems.
This project showcases the end-to-end development of a modern Data Warehouse leveraging the Medallion Architecture with Bronze, Silver, and Gold layers.
- Data Architecture – Structured warehouse design using layered architecture.
- ETL Pipelines – Extract, transform, and load data from multiple source systems.
- Data Modeling – Creation of optimized fact and dimension tables for analytics.
- Analytics & Reporting – SQL-based dashboards and reports for actionable insights.
The primary goal of this project is to design and implement a scalable Modern Data Warehouse that follows the Medallion Architecture to ensure:
- Reliable data ingestion from multiple source systems.
- Efficient transformation and standardization across layers.
- Optimized data models for business analytics.
- Actionable insights through SQL-based reporting and dashboards.
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Requirement Gathering & Planning
- Identified business needs and analytical requirements.
- Selected data sources and defined data quality rules.
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Data Architecture Design
- Designed the Bronze (raw), Silver (cleaned), and Gold (business-ready) layers.
- Created ER diagrams and data flow mappings.
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ETL Pipeline Development
- Built extraction scripts to pull data from source systems.
- Applied transformations for standardization, cleansing, and enrichment.
- Loaded processed data into the warehouse.
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Data Modeling
- Designed fact and dimension tables for analytical queries.
- Implemented primary keys, foreign keys, and indexing for performance.
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Analytics & Reporting
- Created SQL queries for business KPIs.
- Developed dashboards and visual reports for stakeholders.
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Testing & Optimization
- Validated data accuracy and completeness.
- Tuned queries and pipelines for performance efficiency.
