I will optimize your snowflake sql queries and reduce warehouse compute costs

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SnowPro Advanced Architect Data Engineer

I am a results-driven Data Engineer with over 5 years of experience designing scalable data pipelines and cloud-native warehousing solutions on Snowflake and AWS. I specialize in Python, SQL, and DBT,...
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Is your Snowflake warehouse spending more than it should? Are your dashboards slow or your data pipelines timing out?


I am a Snowflake SnowPro Advanced Architect Snowflake's highest-level data engineering certification. I've reduced pipeline runtimes by up to 75% and cut warehouse compute costs by over 80% for clients running complex workloads on Snowflake. I know exactly where Snowflake wastes credits and how to fix it fast.


What I will optimize:

Query Performance

  • Rewrite slow SQL with optimised CTEs, joins, and filter pushdowns
  • Eliminate redundant subqueries and cartesian products
  • Fix missing or incorrect clustering key usage
  • Tune Snowflake-specific features: QUALIFY, FLATTEN, LATERAL JOIN

Warehouse Efficiency

  • Right-size virtual warehouses (XS XL) based on actual workload
  • Configure auto-suspend and auto-resume policies to cut idle cost
  • Identify and eliminate expensive full table scans
  • Analyse query profiles for bottlenecks (spill to disk, remote I/O)

Data Architecture Fixes

  • Review partition pruning and micro-partition efficiency
  • Recommend materialised views or result caching where applicable
  • Optimise Snowpipe and COPY INTO performance
  • Reduce credit consumption on scheduled Task

Warehouse-Plattform:

Snowflake

Projektart:

Optimierung

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