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US last-mile logistics

Faster, safer changes to a live data warehouse

A real-time data warehouse, extended and hardened: one-command onboarding, AI-checked changes and an operations console.

Pipeline console, illustrated.
10 minto add a table, was 1–2 hours
3revenue columns caught loading empty
2 TBreclaimable, over 70% of the database

Challenge

Adding a table to the live warehouse took 1 to 2 hours of manual work, and bad data could load without anyone noticing.

Scope

  • One-command onboardingNew tables join the real-time pipeline in about 10 minutes.
  • AI-checked changesEvery change validated before it ships.
  • Operations consoleLag, drift and checks in one view.
  • Storage and recovery reviewReclaimable storage found and a disaster-recovery assessment.

Result

  • Analysts get new tables in minutes instead of hours.
  • Bad revenue data is stopped before it reaches reports.
  • A clear path to lower storage costs.

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