
Accelerated Legacy ETL Modernization and Databricks Migration for a Fortune 500 Retailer Through AI-First Automation
Case Study
ETL automation

For a leading payment processor, an expanding merchant base and new payment methods led to growing demand for analytics, reporting, and reconciliation. While growth had been rapid, data integration relied heavily on manual ETL scripting, making pipeline creation slow and resource-intensive.
Automated ETL scripting reduced development effort by more than 80%.
Data pipeline development timelines dropped from weeks to days.
Increased data engineering capacity by 5x without additional headcount.
Merchant integration project timelines reduced by 70%.
Enabled launch of embedded analytics offerings for merchants.
Impact earned a CIO award for technical leadership, expanding engagement scope.