Сервіс пошуку роботи №1 в Україні
Maksym
Python-програміст
- Вік:
- 30 років
- Місто проживання:
- Ужгород
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/20575021/
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MAKSYM CHEREPANYA
[відкрити контакти ](див. вище в блоці «контактна інформація») (Telegram) | Email | Portfolio | GitHub
SUMMARY
Python Developer with 1 year of production scraping experience, specializing in reverse engineering and anti-detect
automation.
SKILLS CERTIFICATION
‣ Python ‣ Scrapy ‣ BeautifulSoup ‣ Jmespath Python Backend Development
‣ PostgreSQL ‣ Redis ‣ Celery ‣ FastAPI Hillel IT School (6-month)
‣ Docker ‣ CI/CD ‣ Linux ‣ AsyncIO
EXPERIENCE
Python Data Engineer | Aug 2025 – Present
Technologies Used: Python, Scrapy, PostgreSQL, RabbitMQ, AsyncReactor, TLS fingerprinting, curl_cffi,
Playwright, Chrome CDP, Camoufox, Grafana, InfluxDB, Airflow, Graylog.
Contributions:
‣ Provided scalabale, production ready scrapers of websites with heavy bot challenges like Akamai, WAF, Turnstile,
DataDome
‣ Developed and supported distributed crawlers across 20+ major European retailers and marketplaces, expanding
catalog coverage to over 4 million products.
‣ Built automated parser test suites using pytest and mock network fixtures; deployed verified code to distributed
Scrapyd worker clusters following strict Git release workflows.
‣ Decompiled Android APKs (JADX) to uncover private endpoints, reverse-engineering dynamic HMAC-SHA256
signatures and proprietary salt headers
‣ Bypassed Modern Anti-Bot Defenses such as Cloudflare Turnstile, DataDome, and PerimeterX challenges using
CDP, Camoufox and TLS impersonation (curl_cffi, JA3/JA4 frame emulation).
‣ Designed failover proxy middlewares routing requests through Proxidize (4G/5G mobile dongle farms) with
automatic fallback to CloudProxy and residential pools upon detection of blocks or CAPTCHAs.
‣ Profiled high-concurrency Scrapy spiders, eliminating memory leaks by replacing multi-gigabyte in-memory
DataFrames with keyset database queries and streaming pipelines—reducing peak memory usage.
‣ Modeled Complex Marketplace & Pricing Data
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SUMMARY
Python Developer with 1 year of production scraping experience, specializing in reverse engineering and anti-detect
automation.
SKILLS CERTIFICATION
‣ Python ‣ Scrapy ‣ BeautifulSoup ‣ Jmespath Python Backend Development
‣ PostgreSQL ‣ Redis ‣ Celery ‣ FastAPI Hillel IT School (6-month)
‣ Docker ‣ CI/CD ‣ Linux ‣ AsyncIO
EXPERIENCE
Python Data Engineer | Aug 2025 – Present
Technologies Used: Python, Scrapy, PostgreSQL, RabbitMQ, AsyncReactor, TLS fingerprinting, curl_cffi,
Playwright, Chrome CDP, Camoufox, Grafana, InfluxDB, Airflow, Graylog.
Contributions:
‣ Provided scalabale, production ready scrapers of websites with heavy bot challenges like Akamai, WAF, Turnstile,
DataDome
‣ Developed and supported distributed crawlers across 20+ major European retailers and marketplaces, expanding
catalog coverage to over 4 million products.
‣ Built automated parser test suites using pytest and mock network fixtures; deployed verified code to distributed
Scrapyd worker clusters following strict Git release workflows.
‣ Decompiled Android APKs (JADX) to uncover private endpoints, reverse-engineering dynamic HMAC-SHA256
signatures and proprietary salt headers
‣ Bypassed Modern Anti-Bot Defenses such as Cloudflare Turnstile, DataDome, and PerimeterX challenges using
CDP, Camoufox and TLS impersonation (curl_cffi, JA3/JA4 frame emulation).
‣ Designed failover proxy middlewares routing requests through Proxidize (4G/5G mobile dongle farms) with
automatic fallback to CloudProxy and residential pools upon detection of blocks or CAPTCHAs.
‣ Profiled high-concurrency Scrapy spiders, eliminating memory leaks by replacing multi-gigabyte in-memory
DataFrames with keyset database queries and streaming pipelines—reducing peak memory usage.
‣ Modeled Complex Marketplace & Pricing Data
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Резюме кандидата розміщено за адресою: https://www.work.ua/resumes/20575021/