Informatica to Azure Databricks - GenAI-Powered ETL Migration
At a glance -
the essentials
Tier-1 Global Bank
- A Tier-1 Global Bank was extensively reliant on Informatica for their ETL processes, resulting in high licensing, infrastructure, and operational costs. The client required a cost-effective, modern, cloud-based alternative and identified Azure Databricks as their preferred target platform for migration. The challenge: migrating complex Informatica ETL jobs to Azure Databricks without disruption, additional training overhead, or compromise on quality and compliance standards.
Kumaran designed a GenAI multi-agent turnkey solution to migrate Informatica ETL jobs to Azure Databricks. The solution supports both one-to-one migration from Informatica to Azure Databricks and enhanced migration that leverages the full benefits and features of the Databricks platform. With a human-in-the-loop agent, the tool delivers seamless ETL migration with 60–80% automation accuracy, requiring no additional training and meeting industry security and development standards throughout.
- 60–80% automation accuracy in ETL migration from Informatica to Azure Databricks
- Significantly reduced licensing, infrastructure, and operational costs
- Seamless migration of complex ETL jobs with no additional training required
- Flexible one-to-one or enhanced migration leveraging Databricks-native features
- Faster, more efficient PySpark workflow delivery meeting industry standards
From costly Informatica dependency to cloud-native Databricks efficiency
A Tier-1 Global Bank partnered with Kumaran to modernise their ETL infrastructure through a GenAI-powered migration from Informatica to Azure Databricks, achieving 60–80% automation accuracy and dramatically reducing licensing and operational costs. The engagement delivered a multi-agent turnkey solution supporting both direct and enhanced migration paths, with a human-in-the-loop design ensuring quality and compliance at every stage. For this bank, the goal was not just cost reduction - it was the agility and scalability of a modern, cloud-native data platform capable of delivering faster, sharper PySpark workflows without the burden of legacy ETL infrastructure.
The Background
The bank's heavy reliance on Informatica had become a significant cost and agility constraint. Licensing fees, infrastructure overhead, and the operational complexity of maintaining legacy ETL pipelines were limiting the team's ability to move at the pace the business required. Azure Databricks had been identified as the strategic target platform, but the complexity and volume of existing Informatica jobs made manual migration impractical. A GenAI-powered, automated migration approach was the only viable path to achieving the transition at speed, without service disruption or significant retraining of existing teams.
Want to know how we achieved these results?
Contact us today to learn more about our GenAI-powered ETL migration approach and the success story behind this engagement with the Tier-1 Global Bank.
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