The problem: You've got data everywhere. Transactions in one system, inventory in another, carbon reporting someone's doing manually in Excel. Nothing talks to anything else, and when leadership asks for a number, someone spends three days pulling it together.

Sound familiar?

What I built: End-to-end ETL pipelines processing 1M+ transactions across retail, ticketing, and merchandise — five years of historical data, 10+ source systems, unified into one clean pipeline on Palantir Foundry and Apache Spark.

Also automated a 1,000-row spreadsheet of carbon factors that was being manually reviewed and renamed. What used to take a week? Now it takes 10 minutes. That's not a metaphor — the process genuinely went from days to a single script run.

Results:

• 95% reduction in ETL prep time

• $40K+ per hour in operational time recovered

• Data health monitoring that flagged issues before they became expensive decisions

If your team is spending more time wrangling data than using it, something's broken upstream. That's usually fixable.