February 25, 2026 | 10am PT / 1pm ET
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.
You'll see:
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.
Register to attend the session live or to recieve the webinar recording.
As Chief of Staff at Ascend.io, Jenny partners with data leaders and engineering teams to bring AI and automation into their day-to-day work. With years of experience in connecting with data teams, Jenny focuses on making advanced technologies accessible and practical for teams of all sizes.
Chief of Staff @ Ascend.io
Tessa Juengst is a Senior Cloud Data Architect at Ascend.io with extensive experience helping diverse customers build data pipelines and cloud infrastructure. She previously taught data analytics at UC Berkeley Extension and loves showing engineers how AI can accelerate their work.
Solution Architect
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