Snowflake Data Integration Specialist Needed

I need an experienced Snowflake professional to own the end-to-end data integration of several AWS and Azure sources into my Snowflake environment. Your first objective is to design and build reliable, automated pipelines—using Snowpipe, Streams & Tasks, or any proven approach—that land raw data in a staging area and promote it through to curated models without manual intervention.

Beyond the load process, I also want the warehouse running at peak efficiency. That means:

• tightening query performance,
• setting up the right clustering or indexing strategies, and
• fine-tuning resource management so we only pay for what we truly use.

Because my in-house team will maintain the solution, I’d like you to spend dedicated time as a trainer, walking us through configuration choices, performance-tuning techniques, and best practices for securing and monitoring the platform. Clear, concise documentation is part of the hand-off.

Deliverables
1. Automated data pipelines from AWS & Azure into Snowflake, complete with error handling and logging.
2. Performance-optimized warehouse objects (queries, materialized views, clustering) benchmarked against current workloads.
3. Resource usage plan showing how to scale up, scale down, and schedule warehouses for cost control.
4. Two live training sessions (recorded) plus step-by-step documentation we can reference later.

I’m ready to start as soon as we agree on an approach and timeline.