Edan Kabatchnik

Senior Vice President, Products @Prophecy

San Francisco, CA, US

Data engineering remains a bottleneck in modern analytics. While self-service solutions empower analysts and scientists, they often fail to scale or integrate seamlessly with the needs of the enterprise. Conversely, pure code-based solutions lead to silos, slow iteration cycles, and disempowerment of data analysts. Traditional ETL tools — once the backbone of data transformation — are outdated, expensive, and difficult to adapt to modern AI and cloud-native architectures.As SVP of Products, I drive the vision, strategy, and execution for Prophecy’s AI-native, cloud-based data transformation platform, delivering a self-service yet code-friendly solution that bridges the gap between data engineers, data analysts, and data consumers by:* Expanding Prophecy’s bi-directional architecture, ensuring data analysts can generate code that data engineers can modify while maintaining visual workflows — an industry-first capability* Scaling AI-powered automation, using generative AI to accelerate the creation of data processing pipelines, SQL transformations, and workflow orchestration* Driving adoption among Fortune 500 enterprises, enabling seamless migration from traditional ETL to Prophecy’s open, standards-based Spark and SQL solutions* Building a high-performance product organization, aligning engineering, design, and go-to-market teams to drive rapid iteration and executionProphecy’s visual + code paradigm is unlocking unprecedented collaboration across data analysts, scientists, and engineers, reducing time-to-insight and removing bottlenecks in data transformation. By working closely with customers — including some of the largest global enterprises — we are accelerating innovation in streaming data, AI-driven analytics, and large-scale enterprise data processing.

Massachusetts Institute of Technology

BS, MS, Computer Science