Driving End-to-End Data Modernization on Databricks for a Global Automotive Supplier

Data pipelines were slow, costs were high, and governance was fragmented. Our client’s data operations couldn’t keep up with the pace and scale of the business. We stepped in and modernized their entire platform on Databricks in under two months by rebuilding pipelines with Spark, enforcing robust governance with Unity Catalog, and automating deployments with CI/CD. The result? Scalable, cost-efficient pipelines with unified access, faster insights, and a reusable framework for future growth.