I will build production ready dbt models with tests for snowflake or bigquery
Data Engineer Python SQL Spark AWS GCP Airflow dbt
Informazioni su questo servizio
I build production-ready dbt projects for Snowflake or BigQuery so your team can trust analytics tables and maintain them long term.
What you get:
- Clean dbt layering: staging, intermediate, marts
- Data quality tests: not_null, unique, relationships, plus custom checks
- Clear documentation and handover notes
- PR-based delivery (preferred) or zipped project
- Optional CI guidance in higher tiers
Scope notes:
- Fixed scope per package (sources and models). Extra sources or models are add-ons.
- Read-only access is fine in most cases. Sample or masked data works.
If you want reliable dbt models that survive real production use, choose a package and send your requirements.
Warehouse Platform:
Snowflake
•
BigQuery
Tipo di progetto:
New Build
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FAQ
What do you need from me to start?
Data platform, sources list, target marts, repo access or delivery preference, and constraints.
What counts as a "data source"?
One database/schema connection, one API, or one file location (bucket/path).
What counts as a revision?
Adjustments within the agreed sources/models and definitions. New sources/models are add-ons.
Can you work with sensitive data?
Yes. Sample/masked data is fine. If access is required, least-privilege read-only.
Do you use dbt Core or dbt Cloud?
Either. I can adapt to your setup.
Will you optimize performance and cost?
Included in Premium. Available as an add-on for Basic/Standard.
Do you build dashboards?
Not in this gig. This gig is focused on transformation and data quality.

