Enterprise Data Transformation
Led enterprise Azure/Databricks Data Lakehouse transformation — 60% faster insights, $600K+/year in savings, and self-service analytics adopted across the organization.
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Technology Stack
The Challenge
Legacy data infrastructure was creating bottlenecks across the organization. Time-to-insight was measured in days, infrastructure costs were unsustainable, and the data team struggled to keep up with demand.
The Solution
Directed a complete modernization of legacy data infrastructure into a modern Azure/Databricks Data Lakehouse. This was equal parts platform build and cultural shift — changing not just where the data lived, but how the entire organization accessed and trusted it.
Key Features
Outcome & Impact
The lesson that shaped the studio: data transformation succeeds when you invest equally in the platform and the people. One without the other is half the work.
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