PYTHON SQL SPARK
KAFKA AIRFLOW ETL
DOCKER AWS BIGQUERY
PANDAS NUMPY DASK
DATALENS SUPERSET
POSTGRESQL CLICKHOUSE
REDIS HADOOP
Data Engineering Workspace

Hi, my name is

Stanislav

A Data Engineer & Python Developer

I build scalable data infrastructure and backend systems that directly impact the bottom line. End-to-end ETL on Airflow + ClickHouse, high-load Python microservices, AI integrations, automation bots, BI dashboards, and Docker in production. Full cycle: from zero to a live system. SLA-focused. Production-ready. No overengineering.

Who am I?

Profile Photo

Transitioned from precision hardware engineering to data and backend development — bringing the same rigor: zero tolerance for flaky pipelines, production-first mindset, and systems built to last. Architect, not just a coder. I design reliable infrastructure, automate complex workflows, and ship high-load systems from zero to live.

Here is my technical background.

Data Engineering & Backend Development

Get-Energy & Private Practice | 2023 ~ Present

  • Orchestrating robust ETL pipelines using Apache Airflow, ClickHouse, and PostgreSQL.
  • Developing Python microservices, REST APIs, and AI-integrated Telegram bots.
  • Deploying containerized CI/CD environments with Docker on Linux VPS.

Specialized Tech Training

Karpov.Courses & Bioinformatics Institute | 2022 ~ 2025

  • Advanced Data Analytics Simulator (2025) and Interactive SQL training (2023).
  • Deep dive into Python Core, OOP, and data structures.
  • Focused purely on real-world engineering challenges and high-load data processing.

Hardware & Systems Engineering

Radio Electronics Assembler | 2005 ~ 2013

  • Assembled and repaired complex automated hardware systems.
  • Handled precision mechanics, strict quality control, and technical schematics.
  • Built a foundational, low-level engineering mindset for troubleshooting complex architectures.

Featured Projects

Here are some of my recent data engineering projects

No projects yet. Check back soon!

Get In Touch

I'm always open to discussing new projects, opportunities, or just having a chat about data engineering!

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