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X-WR-CALNAME:Data Engineering Automation in the World of Agentic AI
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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DTSTAMP:20261110T085958Z
DTSTART:20261113T203000Z
SUMMARY:Data Engineering Automation in the World of Agentic AI
LOCATION:San Francisco\, United States
DESCRIPTION:USF Data Science & Artificial Intelligence Speaker Series\nJoin
  us for the USF Data Science Speaker Series\, featuring Deep Patel (https:
 //www.linkedin.com/in/deeppatel710/)\, Staff Data Engineer at Robinhood!\n
 \nLearn how AI agents are changing the way data engineers build and operat
 e data analytics. This session explores using agents to generate and maint
 ain pipelines\, investigate failures\, monitor data quality\, automate tes
 ting and documentation\, and create reusable workflows and guardrails for 
 safely scaling AI-assisted data engineering.\n\nHow to Crack Data Engineer
 ing Interviews\nA practical guide to preparing for modern data engineering
  interviews\, covering data modeling\, system design\, ETL and streaming a
 rchitectures\, data quality\, SLAs\, CDC\, scalability\, and common trade-
 offs.\nThe session also explains how to structure answers\, reason through
  ambiguous business problems\, and approach end-to-end design interviews e
 ffectively.\n\nAbout the Speaker\nDeep Patel is a Staff Data Engineer at R
 obinhood\, where he designs and builds large-scale real-time data systems 
 powering analytics\, risk\, and user-facing insights.\nHis work focuses on
  product data engineering and on turning complex event streams into reliab
 le\, low-latency datasets. Deep is particularly interested in scalable dat
 a infrastructure\, real-time analytics\, and bridging the gap between data
  engineering and product impact.\n\n#USFDataScienceSpeakerSeries #MSDSAI #
 DataScience #DataEngineering #AgenticAI #ArtificialIntelligence #DataPipel
 ines #DataAnalytics #DataEngineeringInterviews #CareerDevelopment #Robinho
 od
URL:https://ontown.app/e/c67x4frn-data-engineering-automation-in-the-world-
 of-agentic-ai/
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