About

About

I'm a Python developer and data engineer focused on transforming raw data into reliable, high-performance systems.

With experience across ETL design, backend APIs, and data-driven web applications, I create tools that turn complexity into clarity — from Polars pipelines to full-stack solutions.

My work blends technical precision, scalability, and a genuine curiosity for how data can drive meaningful outcomes.

I'm motivated by technical challenges that require architectural clarity, engineering precision, and consistent execution. My main interests revolve around ETL pipelines, data APIs, and high-performance applications — areas where I can combine practical impact with continuous improvement and a disciplined engineering approach.

Highlights

01

Data engineering and ETL design

02

Privacy-first tooling and anonymization workflows

03

Backend APIs with Django REST and FastAPI

04

Automation and orchestration with Airflow

05

Task automation and AI-assisted workflows

Work values

Clarity — simple structures and transparent reasoning.
Reliability — consistent performance at scale.
Efficiency — optimized results without unnecessary complexity.