Partnered with a data infrastructure organization to design and launch a high-performance data acceleration platform supporting data lakes, data warehouses, and machine learning workloads. The platform was required to process massive data volumes at extreme throughput while enabling next-generation analytics and streaming use cases.
Led platform strategy and execution, delivering a unified acceleration layer optimized for high-performance storage environments. Defined and executed a technology roadmap resulting in the launch of new product lines supporting key-value storage and streaming-based architectures.
Optimized existing data processing systems to reliably handle millions of transactions per minute, significantly improving throughput, stability, and operational efficiency. Implemented agile delivery practices across multiple product teams, ensuring consistent delivery from early development through general availability.
The result was a scalable, high-performance platform that enabled faster analytics, improved ML workloads, and positioned the organization as a leader in accelerated data infrastructure.