Prompt

I hate maintaining custom ETL scripts for every new source

Technology / Data Infrastructure1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

Totally fair—custom ETL per source gets painful fast.

A few ways to reduce that pain:

  • Use a standardized ingestion layer: land every source in the same raw format first, then normalize downstream.
  • Prefer connectors over scripts: tools like Fivetran, Airbyte, Stitch, or vendor APIs can eliminate a lot of custom glue.
  • Adopt a schema contract: define required fields, types, and validation rules so new sources plug into a known shape.
  • Use config-driven pipelines: one pipeline codebase, many sources via metadata/config instead of one-off code.
  • Separate extraction from transformation: keep source-specific logic minimal; move business logic into dbt or similar.
  • Build a source onboarding template: auth, mapping, validation, tests, and monitoring all in one repeatable package.

If you want, I can help you design a generic ingestion architecture that minimizes custom ETL, or compare buy vs build options for your setup.

Observation history

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