I'm a passionate Data Engineer & Web Scraper Specialist based in Cracow, Poland (originally from Ukraine). With a focus on automating data extraction and building scalable tools, I turn complex web data into actionable insights. Currently diving deep into Python ecosystems, Docker orchestration, and database automation. Let's build something awesome together!

• 🌍 Location: Kraków, Poland
• 📫 Email: mplakushko@gmail.com
• 🔗 LinkedIn/Twitter/Portfolio: https://www.linkedin.com/in/maksymplakushko/
• 💼 Open for: Freelance scraping projects, data pipelines, or collaborations on open-source tools.

• Languages: Python (expert in scraping, data analysis), SQL
• Tools/Frameworks: Scrapy, Selenium, Docker, PostgreSQL, APScheduler, Pandas
• Specialties: Web Scraping with anti-detection (proxies, user-agents, throttling), Data Pipelines, Automation Scripts, Containerization
• Other: Git, CI/CD basics, Cloud (AWS/GCP in learning)

Here are my standout projects — each in its own repo for easy forking and collaboration:

1. High-Speed Async Web Extractor
   A professional-grade scraping solution designed for speed and efficiency. This project demonstrates the power of asynchronous processing to handle modern, JavaScript-heavy web applications.

   Key Features:

   • Async Engine: Powered by Scrapy-Playwright for non-blocking I/O operations.
   • Modern JS Handling: Seamlessly renders dynamic content that traditional scrapers miss.
   • Robust Infrastructure: Integrated Docker support for easy deployment and Proxy rotation to ensure high availability.
   • Optimized Performance: Fine-tuned concurrency settings for maximum data throughput.
   • ⭐ Stars: 0 (let's boost it!)
   • 🛡️ License: MIT
   • 🔑 Tech: Scrapy, Playwright, Docker, APScheduler

2. Robust Data Orchestration Pipeline

   A comprehensive data extraction and storage system built for reliability and long-term monitoring of automotive market trends.

   Architectural Highlights:

   • Hybrid Approach: Combines Scrapy's efficiency with Selenium's ability to mimic real human behavior.
   • Advanced Resource Management: Custom Driver Pool and Proxy Rotation middleware to bypass sophisticated anti-bot systems.
   • Data Persistence: Fully automated PostgreSQL integration with duplicate prevention logic.
   • Automation & DevOps: * Scheduled execution and daily database dumps via APScheduler.
   • Containerized environment using Docker-compose for seamless "one-command" setup.
   • Data Schema: Tracks comprehensive car attributes, including VIN, odometer readings, and contact information.

3. Project3-Name
   (Extract and describe another one, e.g., a data analysis script.)

• Active contributor to personal projects, focusing on real-world data tools.
• Recent: Built a robust scraper with production-ready features.
• Goal: Contribute to open-source scraping libs like Scrapy.

If you're into data scraping, automation, or need a custom tool, hit me up! Open to feedback on my repos or joint projects.

• Follow me on GitHub
• Email me
• Star a repo if it helps you! ⭐

Thanks for visiting! 🚀