Customer Profile
A leading enterprise modernizing its data landscape by consolidating data from SQL Server, Oracle, Salesforce, and flat files into a centralized Databricks Delta Lake.
Business Challenges
- Data was fragmented across multiple systems, creating inconsistent views and reducing trust in business data.
- Data quality issues were often identified only after reaching reports and downstream applications.
- Scaling data quality enforcement across hundreds of tables and millions of records posed significant operational challenges.
How We Solved It
- Implemented Databricks Delta Lake as a single source of truth for enterprise data.
- Embedded DataGaps data quality checks directly into bronze, silver, and gold data pipelines.
- Automated monitoring, incident management, and workflow orchestration to ensure continuous data quality enforcement.
Outcomes Delivered
- 60-70% reduction in manual validation effort
- 7,000 data quality rules deployed across 600-700 tables
- Centralized data quality governance across 30+ projects
- Zero manual triage for data quality failures