Infrastructure Engineer with 13+ years of experience designing systems using a variety of components and programming languages. Builds analytical architectures and Data Governance frameworks for companies across different countries. Lecturer of both corporate and university courses (NewProLab, Slurm, School 21, universities of Tbilisi and Bangkok). Speaker at multiple conferences (DevOps Pro Europe, PyData, SmartData, DataFest, Cebit, etc.), member of program committees (SmartData, Moscow Python Conf++), and co-organizer of data breakfasts. Currently — Technical Lead of the Data Platform engineering team at Altenar.
Databases through the eyes of a Data EngineerWe’ll look into how popular DBMSs work (the obvious and the not-so-obvious), how queries are executed, and what can be done to optimize them. Hands-on with local Postgres: reading query plans, building indexes, and rewriting a couple of “heavy” queries.
Modern data storage formats and building a mini-lakehouse. We’ll spin up a local MinIO, launch an Iceberg catalog, explore snapshots, time travel, compaction, and schema evolution.
Bonus: A quick look at DuckDB — trying it out to work directly with files.
Audience:- Data Engineers who want to deepen their DB and storage understanding
- Developers looking to sharpen performance tuning skills
- Anyone curious about modern data formats
Expected takeaways:- Practical skills for optimizing queries
- Hands-on experience with modern storage formats
- First steps with DuckDB for lightweight data analytics