I will fix and optimize your dbt pipelines and sql models
Cloud Data Engineer, BigQuery, Snowflake, dbt, Python, ETL
Über diesen Service
Are your dbt runs failing?
Do your incremental models duplicate data or take hours to complete?
I will quickly debug, repair, and optimize your dbt pipelines and SQL models for Snowflake, BigQuery, Databricks, Redshift, and PostgreSQL.
I specialize in production-grade data engineering and warehouse optimization not just basic dbt setup.
What I can help you with:
- Fix failing dbt jobs and compiler errors
- Repair incremental model logic and duplicate data issues
- Optimize slow SQL queries and reduce warehouse costs
- Debug dbt tests, schema.yml, refs, and sources
- Fix Jinja macros and environment configuration issues
- Improve dbt DAG performance and execution speed
- Troubleshoot dbt Cloud and dbt Core deployments
Supported Warehouses:
- ️Snowflake
- BigQuery
- Redshift
- Databricks
- PostgreSQL
Why work with me?
Real-world experience with scalable production data platforms
Focus on reliability, performance, and cost optimization
Clean, maintainable, production-ready SQL/dbt code
Fast communication and detailed debugging process
Please contact me before placing large or urgent orders.
Mein Portfolio
FAQ
What do you need to get started?
I usually need access to your Git repository (GitHub/GitLab), dbt project files, error logs, screenshots, or dbt Cloud details. Secure access methods and NDA are possible if required.
Do you work with dbt Core and dbt Cloud?
Yes. I support both dbt Core and dbt Cloud environments, including local CLI issues and scheduled cloud deployments.
Which warehouses do you support?
Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL.
Can you optimize warehouse costs?
Yes. I can optimize incremental models, partitioning strategies, query structure, and execution logic to reduce warehouse compute costs.
Is my data safe?
Yes. I focus mainly on SQL/dbt logic and structure. Sensitive production data access is not required in most cases.

