Python Data Pipelines

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use When

• Use when building ETL jobs, document intelligence pipelines, OCR, PDF/Excel ingestion, image/media processing, or external-API sync pipelines in Python — idempotent scheduled jobs with validation, dead-letter queues, and multi-tenant isolation.
• The task needs reusable judgment, domain constraints, or a proven workflow rather than ad hoc advice.

Do Not Use When

• The task is unrelated to python-data-pipelines or would be better handled by a more specific companion skill.
• The request only needs a trivial answer and none of this skill's constraints or references materially help.

Required Inputs

• Gather relevant project context, constraints, and the concrete problem to solve; load references only as needed.
• Confirm the desired deliverable: design, code, review, migration plan, audit, or documentation.