Reliability under pressure: How to build self-recovering data Pipelines
Kushagra Deshmukh
Solutions Engineer, Hevo Data
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Agenda
Modern data pipelines don’t fail loudly. A schema change slips through. A few bad records halt ingestion. Dashboards go stale. Engineers rerun backfills. Warehouse costs spike. Business teams begin to question the data. Pipeline instability and silent failures remain some of the biggest bottlenecks for analytics teams operating at scale.
In this live session, we will intentionally stress a data pipeline and demonstrate how modern architecture recovers automatically. Through a practical walkthrough, see Hevo’s self-recovering architecture isolate bad records, checkpoint progress, retry intelligently, and preserve forward momentum without full reloads or data loss.
What you'll learn
Simulate real-world pipeline failures in a controlled environment
See record-level failure isolation in action
Observe built-in retries and automatic recovery workflows
Explore operational visibility across batches, retries, and delays
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