Dbt has gained significant traction in the analytics engineering community and is on the quest to become the go-to tool for data teams. With the latest addition Python models it’s becoming relevant even for machine learning engineers.
We would like to walk you through the basic project setup the first data model all the way up to creating the Python model. Our goal is for you to be confident in using dbt in your team and to help you merge the work of all data team members.
Laptop with a Docker service running
I was the first data engineer at STRV and I'm now leading data science team. Previously long-time data analyst in many fields including forensic, supply chain and e-commerce. I got pissed by the traditional tech stack and turned into analytics engineer thanks to dbt. I like good filter coffee, open source projects, and filmography.
I am machine learning engineer and Pythonista from Czechia. My specialization lies at developing end-to-end machine learning solutions and deploying them into production.
List of my favorites is following:
Data Engineer at STRV. Interested in transforming data using dbt.
