Intelligent Data Engineering: Practices to Reduce Tech Debt

About this Webinar

February 25, 2026 | 10am PT / 1pm ET

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Technical debt accumulates fast in data pipelines—undocumented transformations, copy-pasted code, performance bottlenecks, and quality issues that spiral out of control. In this 45-minute session, we'll cover practical patterns to prevent and reduce tech debt, plus show how AI agents can accelerate the cleanup work.

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You'll see:

• Common sources of data engineering tech debt and why they compound over time
• Engineering practices that prevent debt: modular design, testing, and documentation
• How AI agents can audit existing pipelines help you upgrade them

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By the end of this session, you'll have a framework for assessing tech debt in your data platform and concrete next steps to tackle it: both process changes and AI-assisted tools.

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Register to attend the session live or to recieve the webinar recording.

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