A global life sciences enterprise set out to modernize a large legacy data engineering platform supporting more than 44,000 reporting users, without disrupting the reporting its business depends on. Working with KPI Partners, it migrated more than 8,000 data pipelines to a governed, cloud-native Databricks platform on AWS and cut data processing time by almost 40 percent. If your teams are weighing a legacy ETL modernization under a cloud mandate, this is the path from risk to a governed, AI-ready foundation.
Beyond the migration itself, the engagement lowers total cost of ownership by retiring legacy Informatica licensing and maintenance, compresses migration effort through AI-accelerated conversion, and reduces governance overhead with Unity Catalog, while almost 40 percent faster processing speeds trusted data to more than 44,000 users.
20Years
Years in Business
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