I will set up or audit your dbt project with tests, docs and ci
Data Engineer dbt, SQL, Python, Data Pipelines and AI Analytics
About this Gig
Messy SQL scripts, numbers that don't match, or a dbt project nobody trusts? I'll set up a clean dbt project or audit and fix your existing one, so your data is tested, documented and easy for your team to work with.
What you get:
- A layered project (staging, intermediate, marts) with clear naming
- Tests on what breaks numbers: duplicates, missing values, relationships, business rules
- Documentation and a lineage graph your team can browse
- Incremental models where they save time and cost
- CI so every change is checked before it reaches production
Works with Snowflake, BigQuery, Redshift, Postgres, Databricks and DuckDB.
About me: data engineer with 4+ years in production. I run a ~100-model dbt project with Dagster and data-quality monitoring. Public example (21 models, 62 tests, CI): github.com/VineethVadlapalli/olist-modern-data-stack
Not sure which package fits? Message me before ordering.
Warehouse Platform:
Snowflake
•
Redshift
•
PostgreSQL / Greenplum
Project Type:
New Build
FAQ
Do you need access to my production database?
No. A read-only user or a dev/staging schema is enough. I never need admin credentials, and you keep full control of access.
Which warehouses do you work with?
Snowflake, BigQuery, Redshift, PostgreSQL, Databricks and DuckDB. If yours isn't listed, message me first and I'll confirm.
Do I own the code?
Yes. Everything is delivered to your Git repository, with a README so your team can run and extend it.
Can you work with my existing dbt project?
Yes. The Basic package is an audit of your current project; Standard and Premium restructure or extend it while keeping your conventions.
What do you need from me to start?
Your warehouse type, access (read-only is fine), your repo if you have one, and the 3-5 most important reports or tables.

