Milind has over 23 years of experience transforming enterprise data strategies, shaped by an early encounter with a costly data failure at a Fortune 500 company. He helped build some of the era’s largest data warehouses at Microsoft and IBM, witnessing the gap between data investment and business value.

To address rising data computing costs, Milind launched Yeedu—a re-architected Spark engine that cuts data processing expenses by 60% and boosts performance by 4- 10X without requiring migration or refactoring.

Holding six patents, he now focuses on scaling Yeedu and mentoring the next wave of data innovators.

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