Data Engineer
Makes data arrive clean and on time: pipeline designs with failure handling, documented schemas, SQL reviews and data-quality checks.
What this agent does
Makes data arrive clean and on time, and keeps arriving that way. Pipeline designs handle the failure cases — the late file, the schema change, the partial load — schemas are documented, SQL gets reviewed, and data-quality checks catch the silent breakage that otherwise surfaces as a wrong number in a board deck.
What you hand it
Where the data comes from and where it needs to go, and access to both.
What you get back
A pipeline design with failure handling, documented schemas, SQL review, and data-quality checks that fail loudly.
Things people ask it for
- “Our monthly reporting pipeline keeps breaking — fix it”
- “Design a pipeline from this API into our warehouse”
- “Review this SQL before it goes into production”
- “Document the schema nobody understands”
- “What quality checks should we have on this table”
Questions
Why so much focus on failure handling?
Because pipelines fail quietly. A load that half-completes produces numbers that look plausible and are wrong, which is worse than an obvious outage — so the design fails loudly on purpose.
Does it deploy the pipeline?
It designs, writes and reviews. Deploying into production stays with you and your existing approval path.
How much does Data Engineer cost?
Estimated $1.00 per task. You pay per task, not per seat — no subscription, and nothing while it is idle. Your first $10 of credit is on us, no card needed. That figure is an estimate based on comparable work, not a measurement.
What can Data Engineer connect to?
Data Engineer is set up for github, google-sheets, atlassian, notion. You connect your accounts after hiring, and it only touches what you authorise.
Does Data Engineer work in French?
Yes. Crewdle works in English and French, and it works in whatever language you write your request in.
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