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Даніїл

Python-програміст

City of residence: Kyiv
Ready to work: Remote
City of residence:
Kyiv
Ready to work:
Remote

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DANIIL HAVRYLOV
Python Developer​
Email: [open contact info](look above in the "contact info" section) | Location: Tbilisi, Georgia

Professional Summary
Python Developer with 3+ years of commercial experience specializing in web scraping, data extraction, and automation.
Proven expertise in developing and maintaining scraping solutions using Playwright, Selenium, Requests, and
BeautifulSoup. Skilled in data analysis and processing using Pandas, with the ability to transform raw data into actionable
insights.

Demonstrated ability to work in challenging environments with well-developed technical and interpersonal skills. Actively
participated in project requirement definition, enhancing advanced analytical capabilities and consistently delivering results
in complex scenarios.

Skills & Technologies

Programming Languages: Python, SQL

Databases: PostgreSQL, BigQuery

Web Scraping & Data Extraction: Playwright, Selenium, Requests, asyncio, aiohttp, lxml, BeautifulSoup

API Development & Frameworks: FastAPI

Data Processing: Pandas, NumPy, Matplotlib, Seaborn

Blockchain Technologies:

Bitcoin Node Operation & RPC, Electrum Wallet Integration, Cryptocurrency Payment Processing

Telegram Bot Development: aiogram (Async), Telegram Bot API

Additional: Linux, Docker

Professional Experience

Python Developer (Dec 2022 – Present)

Confidential Clients

●​ Experience in developing Telegram bots with Bitcoin payment integration via Electrum and direct interaction
with Bitcoin nodes
●​ Designed, developed, and maintained end-to-end web scraping solutions from scratch using Python
(Playwright, Selenium, Requests, BeautifulSoup).
○​ Created resilient scrapers with anti-bot bypass (CAPTCHA, rotating proxies, headless browsers).
○​ Built a scraper for collecting data from various e-commerce sites.
●​ Implemented data cleaning, transformation, and validation processes using Pandas and NumPy.
○​ Optimized data transformations, reducing preprocessing time from hours to minutes on large datasets.
○​ Developed validation pipelines to detect and remove duplicates, missing values, and anomalies in
customer datasets.
●​ Collaborated with cross-functional teams to define project requirements and deliver technical solutions.
●​ Worked with SQL databases to optimize data storage, queries, and retrieval performance.
●​ Integrated and managed multiple APIs, ensuring reliable data collection and system interoperability.
DANIIL HAVRYLOV
●​ Deployed, monitored, and maintained utilities across numerous servers, ensuring stability and scalability of
automation solutions.

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