Redshift to Snowflake Migration: A Low‑Risk Cutover Plan
A practitioner’s plan to migrate from Redshift to Snowflake with minimal risk: inventory, data transfer and CDC, SQL/dbt gaps, security, BI cutover, reconciliation, and decommissioning.
We move you onto dbt Cloud with CI, environments, exposures, and orchestration wired up — in weeks, not quarters.
Most teams running dbt-core in CI hit a wall: nobody owns the runner, environments drift, exposures are stale, and PR review is bottlenecked on a single staff engineer. dbt Cloud solves that — but a sloppy migration leaves you with both worlds and twice the bills. We do it once, properly.
A practitioner’s plan to migrate from Redshift to Snowflake with minimal risk: inventory, data transfer and CDC, SQL/dbt gaps, security, BI cutover, reconciliation, and decommissioning.
A concrete migration plan to implement the dbt Semantic Layer without rewriting every metric: inventory, model entities and grains, define metrics, validate, secure, integrate, and roll out in stages.
A practitioner’s sequence to diagnose and fix slow queries in Snowflake—spills, pruning, joins, and concurrency—plus when to resize and how to prove it.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.