Past Webinar
Data Migration
About This Session
Cloud transformations promise speed and scale, but trust doesn't come automatically. Most teams learn this the hard way: a 'data migration' is rarely just a migration. It's often a data discovery effort, a governance exercise, a data quality and reconciliation program, an MDM alignment challenge, a transformation initiative, and sometimes even a data retirement project — all rolled into one. That's why you can't simply assume it worked because the pipeline ran. Confidence comes from building validation, auditability, and reconciliation into the program from the very beginning.
Key Takeaways
What You'll Learn
Speakers
Angsuman Dutta
CTO & Co-Founder, FirstEigen
Angsuman Dutta is the CTO and Co-Founder of FirstEigen. He holds a B.Tech in Engineering from IIT and an MBA from the University of Chicago Booth School of Business. Previously the CEO of Pricchaa and an executive at Infogix, Angsuman leads DataBuck's technical architecture and agentic AI product direction.
Steve Novak
Data Engineering Practice Lead, Definant
Steve Novak is the Data Engineering Practice Lead at Definant, specializing in enterprise-scale data quality, automated reconciliation, and AI-driven validation frameworks for large-scale cloud migration programs.
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Book a 1:1 session with Seth or Angsuman — tailored to your stack. BigQuery, Snowflake, Databricks, or on-prem.