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Pipelines & scenarios · Design & Scenarios

How are APIs used in data engineering?

Easypipe-19
APIRESTingestionrate limitsSaaS

Question

How do data engineers use APIs in pipelines?

Solution

In data engineering, APIs are a common source or sink: pull SaaS data in, or expose curated data out to products.

SaaS / partner APIs          Internal data API
(Stripe, HubSpot, ...)       (metrics service)
        |                            ^
   extract jobs                      |
   (REST/GraphQL)              serve gold tables
        |                      or feature store
        v
   raw zone → transforms → marts

Ingestion concerns

  • Auth (API keys, OAuth), secrets in a vault
  • Rate limits and pagination
  • Incremental sync (updated_since) vs full dump
  • Schema drift when the vendor adds fields
  • Idempotent loads (upsert by vendor id)

Serving concerns

  • Do not let every dashboard hit the warehouse ad hoc forever
  • Sometimes a thin API caches aggregates for apps

Interview tip: "APIs are integration contracts." Mention pagination, rate limits, and incremental sync to show you have built real pulls, not only CSV drops.

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