Agentic Data Engineering in 45 Minutes: Maia from Plan to Pipeline
What if AI agents could transform how data engineering pipelines are designed, built, and executed? As enterprises look for faster ways to deliver trusted, AI-ready data, agentic data engineering is emerging as an approach to reducing manual complexity and accelerating data integration workflows. In this session, "Agentic Data Engineering in 45 Minutes: Maia from Plan to Pipeline," from COLLIDE Data + AI Conference 2026, Arawan Gajajiva, Principal Architect - Sales Engineering COE @ Maia by Matillion, explores the intersection of agentic AI, automation, and modern data engineering. Traditional data engineering requires teams to coordinate multiple stages, from understanding source systems and designing transformations to building pipelines, validating data, and managing execution. These processes can become increasingly complex as enterprise data environments grow and business requirements evolve. Agentic AI introduces new possibilities for supporting these workflows through intelligent planning, automation, and natural language-driven interactions. For data engineers, architects, and enterprise AI leaders, understanding how agent-based systems can contribute to pipeline development raises important questions about productivity, reliability, governance, and human oversight. This session offers an opportunity to explore Maia by Matillion in the context of agentic data engineering and consider how AI-assisted workflows could change the way organizations approach modern data integration. 🎯 Key Topics to Explore: Agentic Data Engineering: How AI agents can potentially support data pipeline planning, development, and execution. From Plan to Pipeline: The key stages involved in translating data requirements into operational data engineering workflows. AI-Powered Data Automation: Opportunities to reduce repetitive engineering tasks and streamline data integration processes. Modern Data Pipeline Architecture: The importance of transformation logic, orchestration, and data reliability in enterprise data environments. Scaling AI-Assisted Engineering: Considerations for combining intelligent automation with governance, validation, and human oversight. 🎤 Featured Speaker Arawan Gajajiva Principal Architect - Sales Engineering COE | Maia by Matillion Session Brought to You By: Maia by Matillion About COLLIDE Data + AI Conference 2026 Organized by Data Science Connect, COLLIDE Data + AI Conference 2026 took place on October 1, 2026, at the Sandy Springs Performing Arts Center in Atlanta, Georgia. The conference brought together enterprise decision-makers, data and AI executives, technology practitioners, and leading AI solution providers to explore the evolving data and AI landscape, scale AI responsibly, and exchange practical insights with industry peers. Learn more about COLLIDE: https://datasciconnect.com/events/collide/ ▶️ Watch More from COLLIDE 2026 Watch the full session to explore the possibilities of agentic data engineering and how Maia by Matillion approaches the journey from planning to data pipeline development. Subscribe to the Data Science Connect YouTube channel for more technical sessions, executive keynotes, and industry discussions from COLLIDE Data + AI Conference 2026 covering data engineering, agentic AI, AI-powered automation, and enterprise data modernization.