Browse categories
Explore
Fiverr Pro
English
$
USD
I will cut your snowflake credit spend with query optimization
Snowflake, dbt, and Agentic AI for Enterprise Data Stacks
Analytics Engineer specializing in modern data stack architecture — Snowflake, dbt Core, and Agentic AI via the Model Context Protocol (MCP).
I help data teams cut context-switching and Snowflake cre...
About this Gig
If your Snowflake bill keeps climbing and nobody can explain exactly why, the problem usually isn't "too much data." It's unoptimized queries, oversized warehouses, and dbt models re-scanning tables they don't need to.
What I bring:
- Full audit of warehouse usage and your most expensive queries, with clear, prioritized fixes
- Clustering key and warehouse right-sizing fixes that cut runtime without touching business logic
- Materialization strategy fixes (table vs. incremental vs. view) that reduce credit burn on high-volume dbt models
- Custom monitoring that flags cost spikes before they hit your invoice, not after
- Warehouse auto-suspend and sizing policies tuned to your actual usage, not defaults
I've managed production Snowflake environments where credit spend directly impacted budget. This is applied cost engineering, built from real operational pressure, not generic checklist advice.
Send me a screenshot of your Snowflake cost dashboard or query history, and I'll tell you honestly where the savings are before you even order.
Warehouse Platform:
Snowflake
Project Type:
Optimization
FAQ
How much can we realistically expect to save?
It depends on current inefficiencies, but unoptimized clustering, oversized warehouses, and full-refresh dbt models on large tables are the most common causes of overspend. I'll give a specific estimate after the audit, not a generic percentage.
Do you need admin access to our Snowflake account?
No. Read access to ACCOUNT_USAGE views and query history is enough for the audit. For Standard/Premium changes, I'll work with your account admin to implement fixes, or you can grant temporary elevated access if preferred.
Will optimizing queries break anything in production?
No. Every change is validated against expected output before being applied. For dbt model changes, I follow standard PR review practices so nothing goes live without your sign-off.
Can you set up ongoing monitoring, or is this a one-time fix?
Both. Premium includes a custom monitoring engine that tracks dbt execution times and flags cost anomalies ongoing, plus active support to tune alert thresholds after launch.
We're already using dbt, will you touch our existing models?
Yes, that's usually where the biggest wins are. I'll review materialization strategy and identify redundant transformations, and only recommend restructuring where it meaningfully reduces compute.
