dbt Cloud Migration: Move Without Breaking Production
A practitioner’s playbook to move from dbt-core on Airflow/cron to dbt Cloud with zero surprises: cost, fit, mapping, Slim CI, parity, cutover, and rollback.
5 min read
EP
Principal Analytics Engineer
Eric Provencio
Analytics engineer who has built and run production data platforms for Disney, Hulu, Nike, Peloton, Gopuff, and Kaplan. Founded Vertex Data Consulting to do the deep work most data teams never find time for: dbt Cloud migrations, repo performance, Airflow reliability, and AI agents that actually touch the stack.
eric@vertexdataconsulting.comBuilt data platforms for
- Nike
- Kaplan
- Gopuff
- Disney
- Hulu
- Peloton
Works in
- Snowflake
- BigQuery
- dbt Cloud
- dbt Core
- Airflow
- Sigma
- Hex
- Redshift
- Databricks
- Postgres
Recent writing
All articles →Snowflake Cost Optimization: Where the Credits Go
A practitioner’s guide to Snowflake cost optimization: attribute spend, fix warehouse settings, prune scans with clustering/MVs, and prevent regressions.
5 min read
dbt run slow? Why it happens and 7 fixes that work
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.
7 min read
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