Layered Data Architecture
Implementation of a structured Bronze → Silver → Gold pipeline to progressively refine raw data into analytics-ready datasets.
Bronze
Silver
Gold
SQL Server Data Warehouse
End-to-end Data Warehouse implementation on SQL Server using a Bronze → Silver → Gold layering approach, integrating CRM/ERP CSV sources and publishing a Star Schema for analytics and reporting.
Overview
This project simulates a production-style warehouse: raw ingestion from multiple sources, standardization and validation, then a business model designed for reporting.
Stack: SQL Server, T-SQL, SSMS, Star Schema modeling.
Layers: Bronze → Silver → Gold
Model: Facts & dimensions (Star Schema)
Data quality: validation rules & standardization
What the project demonstrates
Data Modeling (Star Schema)
Design of fact and dimension tables optimized for reporting, aggregation, and KPI computation.
Star Schema
Fact Tables
Dimensions
Data Quality & Standardization
Application of validation rules, type normalization, and structured transformations to ensure analytical consistency.
Data Cleaning
SQL Server
Validation Rules
Want to know more?
I can share additional context (design choices, data quality rules, limitations, next steps) during a discussion.