Track ETL jobs, schema changes, and data-quality incidents on one board, so broken pipelines and silent data drift get caught and owned.
Data-engineering teams keeping pipelines and warehouses healthy.
Quick answer
The Data pipeline ops template is a ready-made workspace for Data-engineering teams keeping pipelines and warehouses healthy.
Data pipeline ops template in short
Included when you apply it
Applying this template creates the 1 board below — with every list — and pre-loads 3 sample issues, all yours to edit. The automation rules further down are suggestions you can wire up next; they aren't created for you yet.
A preview of how this template lays out — the boards, their custom workflow states, and where the sample issues land. WIP caps show a badge.
Pipelines
Nightly events ETL failing on a malformed timestamp
Add a freshness check to the revenue model
Backfill the new dimension table
These rules aren't created when you apply the template — they're recipes you can wire up in Settings → Automations once your board exists.
When
Issue labeled 'data-incident'
Then
Page the on-call data engineer and start an incident note
When
A freshness check fails
Then
Open a data-quality issue tagged with the affected model
Ready to spin this up?
Sign-up takes seconds. We build this template's boards, lists, and sample issues in your new workspace, all yours to edit.
FAQ
Sprint planning
A cycle-driven sprint board with WIP limits, estimates, and PR-linked issues — the default starter pack for product engineering teams.
View templateBug triage
An intake-to-resolution pipeline that separates triage from active fixing, with severity labels and reproduction notes on every card.
View templateRelease checklist
A repeatable release runbook as a sub-issue tree — cut, verify, ship, announce — so nothing ships half-checked.
View template