This project demonstrates a complete analytics engineering workflow using Snowflake, dbt Cloud, SQL, and Power BI. The pipeline transforms raw business data into clean, structured, and actionable insights.
Raw Superstore data is loaded into Snowflake and organized into scalable cloud warehouse structures.
SQL models clean, test, and transform data into staging, intermediate, and mart analytics layers.
Final analytics models are transformed into dashboards and interactive business insights.