Florian Stefan
Florian is based in Berlin and works as Software Engineer for Flatiron Health. Before joining Flatiron Health’s mission to improve and extend lives by learning from the experience of every person with cancer, he worked for eBay and Immobilienscout24. Florian loves traveling with his family, uses his little son as excuse to buy toys for himself and is passionate about software engineering, software architecture and punk rock.
Sessions
The "data build tool" (DBT) was designed to unlock software engineering best practices for SQL-based data pipelines: pipelines as version controlled directed acyclic graphs (DAGs) consisting of testable and reusable nodes. With the increasing number of cloud data warehouses and data lakehouses that allow the native execution of Python code, DBT also added support for Python models. In this talk, I will explain how Flatiron Health uses DBT and share our experiences with unit and data testing.
Our mission is simple but profound: to improve and extend lives by learning from the experience of every person with cancer. This talk explains how we transform sensitive data from heterogeneous environments into research-grade datasets. And how we shift insights generation left to iterate faster.