The Challenge
The enterprise had data scattered across 50+ systems with no unified view. Data quality was poor, and analytics teams spent weeks preparing data for analysis instead of deriving insights. They needed a modern data warehouse with automated pipelines.
Our Solution
We built a Snowflake-based data warehouse with dbt for transformation and Airflow for orchestration. We created automated ETL pipelines for all 50+ data sources, implemented data quality checks, and established governance policies. The warehouse stores 100TB+ of data with sub-2-second query performance.
Technologies Used
Web-AppData LakehousePipelines