
Egor Tarasenko
I'm an experienced Data & AI Engineer with over five years of industry experience. Currently, I work at Ponder, where I help deliver data and AI services tailored for educational institutions. My passion lies in building practical, impactful solutions that make data more accessible and valuable.
I’m also deeply engaged in the open source community through our work at Ponder. This includes developing AI and data libraries, creating plugins and integrations for tools such as Superset, Airflow, dbt, and others, as well as building innovative solutions for technologies like Trino and Apache Iceberg.
Egor Tarasenko's Sessions
dbt → Cube.js → Superset: Automating Semantic Layer & BI SyncSQLBits 2026
Learn how to automate a full semantic layer pipeline using dbt, Cube.js, and Superset. See how dbt-to-cube generates metrics, syncs them to BI tools, and eliminates manual metric duplication across dashboards.
Untangling dbt Dependencies with Knowledge Graphs and AISQLBits 2026
Learn how dbt-kg turns dbt metadata into a queryable knowledge graph, enabling AI-powered analysis of dependencies, circular refs, and model relationships to help you understand and optimize large dbt projects.