Informatica to Databricks - GenAI-Powered ETL Modernization
At a glance -
the essentials
Tier-1 Global Bank
- A Tier-1 global bank's heavy reliance on Informatica for ETL drove up licensing, infrastructure, and operational costs, while frequent upgrades and scalability limits held back its real-time and AI/ML initiatives. The client required a cost-effective, modern, cloud-based alternative and identified Databricks as their preferred target platform for modernization. The challenge: modernizing complex Informatica ETL jobs to Databricks on Azure platform without disruption, additional training overhead, or compromise on quality and compliance standards.
Kumaran designed a GenAI multi-agent turnkey solution to modernize Informatica ETL jobs to Databricks. The solution supports both a like-for-like modernization to Databricks and an enhanced modernization that leverages the full benefits and features of the Databricks platform. With a human-in-the-loop agent, the platform delivers seamless ETL modernization with 60–80% automation accuracy, requiring no additional training and meeting industry security and development standards throughout.
- 60–80% automation accuracy in ETL modernization from Informatica to Databricks
- Significantly reduced licensing, infrastructure, and operational costs
- Seamless modernization of complex ETL jobs with no additional training required
- Flexible one-to-one or enhanced modernization 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 modernization from Informatica to Databricks on Azure platform, 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 modernization 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. Databricks had been identified as the strategic target platform, but the complexity and volume of existing Informatica jobs made manual modernization impractical. A GenAI-powered, automated modernization 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 modernization approach and the success story behind this engagement with the Tier-1 Global Bank.
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