Skip to content
View avtomatik's full-sized avatar
73 followers · 77 following
  • Moscow, Russia

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

Block or report avtomatik

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
avtomatik/README.md

👋 Hi, I'm Alexander (@avtomatik)

Backend Developer / Data Engineer with a strong focus on building scalable backend solutions and data pipelines. I specialize in Python, FastAPI, and modern data engineering tools to create high-performance systems.

Areas of Expertise

  • Languages: Python3, Go, Rust (learning), Bash
  • Frameworks: FastAPI, Flask, Django, Django REST Framework
  • Data: Pandas, Polars, DuckDB, dbt (Data Pipelines, ETL), Pydantic
  • DevOps: Docker, Docker Compose, GitHub Actions
  • Databases: PostgreSQL, SQLite, DuckDB
  • Concepts: API Design, Data Pipelines, Data Automation

Current Focus

  • Developing high-performance RESTful APIs with FastAPI
  • Building data pipelines and automating ETL processes using dbt and DuckDB
  • Working with Polars for faster data processing in data science and analytics
  • Exploring UV for fast, asynchronous Python applications
  • Expanding my knowledge of Rust, Go, and Python for efficient backend systems

Open to Collaborate On

  • Backend/API development, especially with FastAPI
  • Data pipeline automation and optimization
  • Data Science and analytics projects (especially with Polars, Pandas, dbt)
  • Open-source contributions in the Python and Go ecosystems

Contact

📄 View my CV here.

Pinned Loading

  1. renamex renamex Public

    A fast CLI tool to clean, normalize, and safely rename files in bulk

    Rust 4

  2. etl-cobb-douglas-model etl-cobb-douglas-model Public

    ETL pipeline for analyzing economic data using the Cobb-Douglas production function model.

    Python

  3. etl-brown-kendrick etl-brown-kendrick Public

    ETL Pipeline for Data Fusion: M.G. Brown & J.W. Kendrick Macroeconomic Sources

    Python

  4. superset-dbt-bea superset-dbt-bea Public

    An **end-to-end data pipeline** for U.S. Bureau of Economic Analysis (BEA) data.

    Python

  5. welding_ml welding_ml Public

    Tiny Project in Machine Learning Applied to Precision Electron-Beam Welding

    Jupyter Notebook

  6. superset-dbt-fed superset-dbt-fed Public

    An end-to-end data pipeline for Federal Reserve Economic Data (FRED) data.

    Python