Snowflake Data Integration Support

I’m expanding our Snowflake environment and want an experienced engineer to help wire new data sources into the platform, document the flow, and keep performance tight as volumes grow.

The core focus is data integration: designing and building clean, repeatable ELT pipelines that land data in the right layers, set up stages, streams, tasks, and automate loads with Snowpipe or similar tooling. Alongside that, I need hands-on improvements to the most demanding queries—specifically boosting execution speed and making sure they stay fast when we’re scanning very large datasets.

You’ll work directly in my dev account (role-based access) and push code to our Git repository. At the end I expect:

• Working, production-ready ELT jobs with clear comments
• Tuned sample queries that illustrate the performance gains
• A concise best-practice write-up covering what we implemented

A quick onboarding call will get you up to speed on schemas and current bottlenecks. Let me know your availability and typical approach to Snowflake integration and query tuning so we can kick this off right away.