DATA ENGINEER · BACKEND DEVELOPER
Hi, I’m
Namazbek.
I make complex data feel simple.
And build systems you can trust.
Almaty, KazakhstanAvailable for good problems.
FORM / FEELING
A little room for curiosity.
01 / MADE TO WORK
Ideas, made real.
Python
untverse
Gamified UNT Informatics learning platform built with Next.js, FastAPI and PostgreSQL.
02 / THE PERSON BEHIND THE PIPELINES
Care in the details.
Clarity in the result.
I treat data systems like banking systems: correctness first, fast second. That mindset turns pipelines into durable products — observable, testable, and trusted.
Meet Namazbek03 / NOTES FROM THE FIELD
Thinking out loud.
9 min READ
Practical Query Optimization in Postgres: Indexes, Partitioning, and Plan Introspection
Learn how to speed up Postgres queries with B-tree indexes, table partitioning, and EXPLAIN ANALYZE. Step-by-step with real Python code.
10 min READ
Designing ETL for AI: Building Robust Feature Pipelines and Feature Stores
Learn how to build reliable ML feature pipelines in Python: ingestion, transformation, storage, and serving — with Docker and pytest.
11 min READ
Python Performance for Data Pipelines: Profiling, Vectorization, and Safe Concurrency
Profile Python pipelines, replace slow loops with NumPy vectorization, and safely parallelize I/O with ThreadPoolExecutor. Step-by-step with Docker.
GOOD WORK STARTS WITH A CONVERSATION