A podcast about data in the modern world. Covers expert opinions and experience in data collection, storage, processing, visualization, and data-driven decision making. Available on Apple Podcasts, Spotify, YouTube, Yandex Music, and 20+ other platforms.
About the Project
Data Coffee is a podcast about data in the modern world — a space where industry experts share their hands-on experience in collecting, storing, processing, visualising, and making decisions based on data.
The podcast was born from a simple idea: the data community deserves candid, in-depth conversations that go beyond surface-level tutorials. Each episode brings together practitioners who work with data every day — from data engineers and analysts to ML engineers and data leaders — to discuss real challenges, emerging trends, and lessons learned the hard way.
What We Cover
Our episodes span the entire data lifecycle and the people behind it:
- Data Engineering & Architecture — building scalable pipelines, DWH design patterns, Data Mesh, Data Vault, and Anchor Modeling
- Analytics & Decision-Making — turning raw data into actionable insights, BI tooling, and the art of asking the right questions
- Machine Learning & AI — from feature engineering to production ML systems
- Data Culture & Organisation — how teams are structured, the role of a data partner, and what it means to be truly data-driven
- Tools & Technologies — deep dives into dbt, Airflow, Spark, ClickHouse, Kafka, and the modern data stack
The Team
- Alex — creator of the podcast, coffee lover, and open-source enthusiast
- Mak — PhD, data scientist, and bass player
- Dina — lead developer of a gaming data warehouse
- iJKos — an enthusiastic fan who followed the editorial team around until he ended up on this page
Where to Listen
Data Coffee is available on 20+ platforms, including:
You can also find us on Telegram: Channel / Chat
Why It Matters
In a field that evolves as fast as data engineering and analytics, staying current is essential — but reading documentation alone is not enough. Data Coffee bridges the gap between theory and practice by bringing real stories from the trenches: what worked, what failed, and what surprised even the most experienced professionals.
Whether you are a junior data engineer looking for guidance or a seasoned architect curious about how other teams solve similar problems, there is an episode for you.
