You will get Exasol & Snowflake ( Performance & Optimization ) + Cloud Cost Saving

Project details
I specialize in fixing the root cause of slow queries and high cloud bills in Snowflake and Exasol.
My approach consistently delivers faster performance with 30–60% cost reduction, using deep engine-level optimization - not guesswork or generic advice.
My approach consistently delivers faster performance with 30–60% cost reduction, using deep engine-level optimization - not guesswork or generic advice.
What's included
| Service Tiers |
Starter
$500
|
Standard
$750
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 0 | 1 | 1 |
Schema Diagram | - | - | - |
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
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NH
Nauman H.
May 31, 2018
Linux Shell Scripting
Fantastic job, helped in every way possible. Brilliant!
SK
Stanislav K.
Apr 25, 2018
MySQL import
Great work, thank you!
About Ashu
Snowflake Cost Architect | Exasol Specialist | AI-Driven Systems
Pune, India - 1:01 am local time
If your Snowflake costs keep rising or pipelines are slowing down as data grows, the issue is rarely just one query. It’s usually how compute behaviour, scan patterns, and transformation workflows evolve over time. My work focuses on analysing Snowflake as a system, identifying where credits and latency actually originate, then implementing practical architectural improvements that last.
What I typically help with:
• Snowflake cost optimisation and warehouse right-sizing
• Scan reduction and pruning strategy
• dbt and transformation pipeline performance
• Workload isolation between ETL, BI, and ad-hoc analytics
• Advanced feature reviews (clustering, search optimisation, materialized views, query acceleration)
Clients usually bring me in when costs start drifting, pipelines take hours instead of minutes, or the warehouse setup no longer reflects how teams use data today. My goal is simple: leave your Snowflake environment clearer, faster, and more predictable, not just temporarily cheaper.
If you’re looking for someone who approaches Snowflake from an architectural and cost-efficiency perspective rather than surface-level tuning, I’d be glad to connect.
Steps for completing your project
After purchasing the project, send requirements so Ashu can start the project.
Delivery time starts when Ashu receives requirements from you.
Ashu works on your project following the steps below.
Revisions may occur after the delivery date.
Project kickoff & requirement review
Review client inputs, confirm scope, success criteria, and access level.
Environment & workload assessment
Analyze Snowflake / Exasol setup, warehouse sizing, schema design, and active workloads.