gezel Gezel Handboek

ETL / Ingest Pipeline

Build an extract-transform-load pipeline that ingests source data, reshapes it to a target schema, and loads it with validation at every stage. Locks the schemas FIRST — source shape, target shape, the field-by-field transform/mapping, type coercions, and the data-quality rules — then implements extract→transform→load with row-level error capture, then a reviewer validates output conformance, row counts, and reject handling. Covers ETL stages, schema mapping, type coercion, data validation, idempotent loads, dead-letter/reject rows, and reconciliation counts.

How it runs

#StepWho runs itWhat happens
1Schema scopePlannerlock source/target schemas, mapping, quality rules
2Build the pipelineDeveloperimplement extract → transform → load
3Validate the outputReviewercheck conformance, counts, and reject handling
4EvaluateReviewerGrade the deliverable against every acceptance criterion. All pass → finish; any fail → loop back and fix the gap.
5FinishDeveloperAll acceptance criteria met. Stamp a short summary and report DONE.

Say something like "build an etl pipeline" or "ingest and transform data" or "data pipeline" or "load data into a target schema" or "etl job" in chat to start it.

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