Stop Debugging in the Dark: A Data Engineer's Guide to Full-Stack Observability

You have a modern data stack—likely running Snowflake, dbt, and Airflow—yet you still often find out about broken pipelines from angry business users on Slack. The tools work, but the visibility between them is missing, leaving you to spend up to 50% of your time on reactive firefighting rather than building.

Join us for a focused, 30-minute technical demo of Sifflet designed specifically for Data Engineers who want to automate the "whack-a-mole" of incident response.

In this live session, we will cut through the marketing fluff and show you exactly how to:

• Unify Your Stack: See how Sifflet integrates with your existing tools (dbt, Airflow, Snowflake, etc.) to highlight exactly when and where they stop working together, preventing "silent" failures from reaching production.

• Automate Root Cause Analysis: Stop spending hours tracing upstream failures through logs. We will demonstrate how to instantly correlate anomalies with specific code changes or pipeline failures using automated lineage.

• Visualize Downstream Impact: Use column-level lineage to see immediately which business processes break when a specific pipeline fails, allowing you to prioritize fixes based on actual usage rather than just alert severity.

Stop waiting for Finance to ping you about missing numbers. See how to reclaim your engineering time and catch issues before they impact downstream consumers.

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