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Владимир Шинкаренко
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Владимир Шинкаренко

@0004663

I build scalable web applications with Python, React, FastAPI, TypeScript, and AWS.

Zimbabwe
Message

At LLC Booster, I maintained and scaled infrastructure across five AWS EC2 and Kubernetes servers, cutting deployment time from 40 minutes to 5 minutes. I was promoted from Python Developer to Team Lead within six months, leading 3–5 engineers and owning hiring, code reviews, architecture decisions, and engineering processes.

I refactored key application modules to raise test coverage from 10% to 70% while reducing the codebase by more than 2,500 lines. I also use Claude Code and LLMs to speed up development and improve business processes.

Previously at kubatura, I processed and transformed data with Python and pandas, supported REST API and CommerceML integrations, tested scenarios, and created technical documentation and training materials.

Experience

Work history, roles, and key accomplishments

LLC Booster logoLB

Python-разработчик

Jan 2024 - Apr 2026 (2 years 3 months)

Maintained and scaled infrastructure across 5 servers (AWS EC2, Kubernetes), reducing deployment time from
40 minutes to 5 minutes.
• Conducted technical interviews, onboarded and mentored new hires, reducing time-to-productivity from 1–2
months to 2 weeks.
• Refactored key application modules, increasing test coverage from 10% to 70% and reducing the overall
codebase by 2,500+ lines.
• Leveraged

KU

Python Developer

Kubatura

Jun 2022 - Feb 2024 (1 year 8 months)

Processed data, provided user support, created documentation and training videos, and performed data parsing. Assisted with configuring synchronization of product catalogs and orders between 1C and external systems.

kubatura logoKU

Python-разработчик

Jun 2022 - Feb 2024 (1 year 8 months)

• Processed data, provided user support, created documentation and training videos, and performed data
parsing.
• Assisted with configuring synchronization of product catalogs and orders between 1C and external systems.
• Processed and transformed data using Excel and pandas (Python), including data cleaning, analysis, and report
preparation.
• Tested integration scenarios, prepared bug reports, a

Education

Degrees, certifications, and relevant coursework

Владимир hasn't added their education

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