Data Engineering Automation in the World of Agentic AI

Join us for the USF Data Science Speaker Series, featuring Deep Patel, Staff Data Engineer at Robinhood!

Learn how AI agents are changing the way data engineers build and operate data analytics. This session explores using agents to generate and maintain pipelines, investigate failures, monitor data quality, automate testing and documentation, and create reusable workflows and guardrails for safely scaling AI-assisted data engineering.

How to Crack Data Engineering Interviews
A practical guide to preparing for modern data engineering interviews, covering data modeling, system design, ETL and streaming architectures, data quality, SLAs, CDC, scalability, and common trade-offs.
The session also explains how to structure answers, reason through ambiguous business problems, and approach end-to-end design interviews effectively.

About the Speaker
Deep Patel is a Staff Data Engineer at Robinhood, where he designs and builds large-scale real-time data systems powering analytics, risk, and user-facing insights.
His work focuses on product data engineering and on turning complex event streams into reliable, low-latency datasets. Deep is particularly interested in scalable data infrastructure, real-time analytics, and bridging the gap between data engineering and product impact.

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