Headline: Python Software Engineer | Data Engineering & Automation Expert

[ SUMMARY ] Python development engineer with a focus on creating high-performance data processing systems and modular solutions. I specialize in turning chaotic raw data (CSV/JSON/XLSX) into structured databases and developing tools to automate complex workflows. Author of DataBridge, a modular framework for interprocess communication and multithreaded data processing.

[ CORE EXPERTISE ]

- Data Engineering: ETL pipelines, data cleaning, normalization, validation, and typing.

- Databases & SQL: SQLAlchemy, SQLite, PostgreSQL (complex analytical queries, schema design).

- Architecture: OOP, Threading, Multiprocessing, Asynchronous, IPC.

- Backend & API: Build own APIs and data exchange systems between modules.

- Formats: Professional processing of huge arrays of JSON, CSV, XLSX.

- Desktop & GUI: PyQt6, Tkinter.
[KEY PROJECTS]:
Here you can see (in the demo version) full-fledged applications for load tests of various servers and performing a full range of data processing, from building normalization and sampling templates to individual output of analytical queries. In addition, you can familiarize yourself with small (one file) auxiliary solutions for the needs of the developer.

[ MY WORKING PRINCIPLE ]

- Efficiency over impact: I write maintained, documented, and typed code.

- Transparency: Deep logging and reporting at each stage of data processing (Row-count parity, validation).

- Engineering approach: Development begins with design.