A focused 2–3 week FinOps sprint that audits your warehouses, queries, storage, and governance — then implements the fixes and trains your team to keep them. No migration required.
Runaway Snowflake and Databricks spend almost always comes from five small, fixable inefficiencies compounding quietly.
Warehouses bill by the second while running. Long auto-suspend timers pay for compute long after the last query finished.
Scaled up for one slow query and never scaled back — a Large costs 4× a Small for every second it runs.
A short list of expensive queries runs over and over, defeating the result cache and dominating your bill.
Nobody can say which team or pipeline drives spend, so nothing gets owned or optimized.
No resource monitors or budgets, so the first sign of a problem is the invoice.
A tight engagement with measurable results inside the first month — no performance regressions.
Profile credit consumption from ACCOUNT_USAGE/system tables: warehouse utilization, top queries, storage, and cost attribution by team.
Right-size warehouses, fix auto-suspend, tune the heaviest queries, and apply clustering/partitioning where it pays off.
Implement resource monitors, budgets, object tagging, and a chargeback model so spend stays visible and owned.
Hand over a cost dashboard plus a short workshop so your team maintains the gains long after the sprint.
Drawn from real cost-optimization work. Actual savings depend on your starting point.
Run-cost reduction, with no performance loss
To measurable savings
Query queueing after warehouse tuning
Cost attribution and chargeback visibility
Resource monitors and budget guardrails
Your team maintains the gains, not us
Typically 2–3 weeks for a focused account. Larger estates may run longer, scoped up front.
No. Changes are validated against your workloads — the goal is lower cost with the same or better performance.
No. This works on your existing Snowflake or Databricks platform as-is.
A cost/performance audit, the implemented fixes, a chargeback dashboard, governance guardrails, and a team trained to maintain them.
The sprint is led by Amit Koti — SnowPro Core and 2× Databricks certified, author of a full course on Snowflake cost optimization (101 techniques). The same depth that goes into the curriculum goes into your account.
Book a platform audit and we will show you where the credits are going — and what we would fix first.
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