Data Warehouse Migration Planning That Won’t Stall
A practitioner’s program for migrating Redshift/Postgres to Snowflake or BigQuery—inventory, SQL translation, parallel-run reconciliation, cutover, and decommission.
Choosing, modeling, and tuning a warehouse — plus keeping the bill from outgrowing the value.
A practitioner’s program for migrating Redshift/Postgres to Snowflake or BigQuery—inventory, SQL translation, parallel-run reconciliation, cutover, and decommission.
Triage and fix slow queries on Snowflake and BigQuery. Read profiles, prune data, control joins, avoid spill, and rewrite windows—backed by production patterns.
A practitioner’s plan to build a business health dashboard that leadership actually uses—metrics, piping, dbt models, BI choices, weekly ritual, and failure modes.
A decision framework for dbt materializations that holds up in production: cost math, when views beat tables, incremental pitfalls, ephemeral tradeoffs, and safe swaps.
Stage-appropriate picks, plain-English tradeoffs, and real signals for when to add each layer of a modern data stack—without overspending or overbuilding.
A practitioner’s guide to Snowflake cost optimization: attribute spend, fix warehouse settings, prune scans with clustering/MVs, and prevent regressions.
If your dbt run is slow, start with the critical path: run_results.json, model timing, and the DAG’s longest chain. Then apply the seven fixes that actually pay off.
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.