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Everything Lands, Then It Ships

A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.

Domain
Pipeline Design
Difficulty
medium
Seniority
mid

Interview Prompt

We run a global beverage manufacturer, and every night roughly 900 distributors drop depletion and sell-through files into a shared bucket in whatever shape their local systems produce: CSV, semicolon-delimited exports, and the occasional spreadsheet, around 40 million rows a night with columns that drift and rename without warning. Design the batch pipeline that lands these raw files immutably, cleanses and conforms them into tables that can absorb the changing columns and be overwritten one distributor-day at a time, and publishes a trustworthy Gold layer of daily sales by distributor and product for BI the next morning. It runs on a nightly schedule that sequences the stages and lets a bad or late file from one distributor be reprocessed without corrupting the numbers everyone else already trusts.

How This Interview Works

  1. Read the vague prompt (just like a real interview)
  2. Ask clarifying questions to the AI interviewer
  3. Write your pipeline design solution with real code execution
  4. Get instant feedback and a hire/no-hire decision

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