Your Snowflake, Databricks, or Azure bill doubled and nobody can point to what changed.

The situation

Cloud data platforms make it trivially easy to spend money and nearly impossible to see where it went. A single mis-scheduled job, an auto-suspend that never fires, or a SELECT * in a dashboard that refreshes every five minutes — any of these can quietly add thousands to your monthly bill. Finance is asking questions and the honest answer is “we’re not sure.”

What the Audit does

I pull your query history, warehouse usage, and storage metadata and follow the money. Every recommendation comes with an estimated dollar impact, so you can decide what’s worth doing rather than chasing vanity optimizations.

What you walk away with

• A spend map attributing cost to workloads and teams, so ownership is finally clear.
• A ranked savings list — highest dollar impact, lowest effort first.
• Guardrails (budgets, resource monitors, query policies) so the same leak doesn’t reopen in three months.