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I will build production ready dbt models with tests for snowflake or bigquery
Data Engineer Python SQL Spark AWS GCP Airflow dbt
I’m a freelance Data Engineer (ex-Amazon, Slido/Cisco, Santander). I build reliable data pipelines and analytics foundations so dashboards, ML and GenAI run on data you can trust.
WHAT I DO
• ETL/ELT...
Über diesen Service
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-Plattform:
Snowflake
•
BigQuery
Projektart:
New Build
Mein Portfolio
Meine weiteren Dienstleistungen im Bereich Datentechnik
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.
