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The New Data Engineering Team

Wednesday, July 22, 11 AM ET

Key Takeaways

  • Understand how the data engineering role is evolving and what it means for team structure and priorities.
  • Learn how AI agents are being applied to data engineering tasks and where they add the most value.
  • Discover the skills data engineers and their leaders need to succeed in an AI-augmented environment.

Your Presenter(s)

Pradnesh Patil headshot

Pradnesh Patil

Co-founder & CEO at Altimate AI

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Pradnesh co-founded Altimate AI to build AI-native tools that help data teams move faster and with greater confidence. At Altimate, he leads development of DataPilot, an AI teammate that automates data documentation, quality testing, and query workflows for modern data stacks. His work focuses on embedding AI agents directly into the tools data engineers rely on daily. Previously, he held roles at Palo Alto Networks, Cisco, and VMware.

Neha Tharani headshot

Neha Tharani

Data Foundation Lead at SCOR

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Neha leads data engineering and product delivery for reinsurance company SCOR's Property & Casualty business. She is responsible for establishing trusted, enterprise-wide data platforms that serve as a single source of truth across the business, enabling scalable analytics, informed decision-making, and the next generation of AI-driven capabilities. Previously, Neha was VP of Data Engineering at Swiss Re.

Lisa Mirkovic headshot

Lisa Mirkovic

Data and AI Strategy Advisor

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Lisa is an executive data and AI advisor and former VP of Data Engineering at Capital Group, one of the world's largest investment management firms. Over more than two decades at Capital Group, she led large-scale data platform builds, cloud transformations, and enterprise data programs across financial services. She also brings earlier experience from IBM and completed leadership development training through Harvard Business Publishing's Women Leading Capital programme.

Why this matters

The data engineering role is undergoing its most significant transformation in years. AI agents are beginning to automate routine pipeline work from ingestion and testing to documentation while raising new questions about what human data engineers should focus on. For leaders managing these teams, the pressure to adapt quickly is real: workflows are evolving faster than hiring plans.

In this panel interview webinar, Pradnesh Patil (Co-founder & CEO at Altimate AI), Neha Tharani (Data Foundation Lead at SCOR) and Lisa Mirkovic (Former VP of Data Engineering at Capital Group), will explore how data engineering teams are changing in the age of AI. They'll discuss how AI agents are reshaping day-to-day workflows, what skills are becoming more and less valuable, and the practical challenges leaders face when developing and managing data engineering talent today.

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