Chirag Vithalani

I am a Python Developer with 2.5+ years of experience specializing in web scraping, data extraction, and automation. I design and build scalable scraping systems that transform unstructured web data into clean, structured, and analysis-ready datasets.
My core expertise includes:
Web scraping using Requests, BeautifulSoup, Selenium, and Playwright
Handling dynamic websites, login-based scraping, and bot detection mechanisms
Proxy rotation and user-agent management
Data storage and processing using CSV, JSON, and SQL
Building maintainable, production-ready scraping workflows
I have worked on projects involving immigration portals, medical conference listings, e-commerce platforms, and real estate websites — extracting large datasets efficiently while ensuring data accuracy and reliability.
I am currently expanding my skills in data engineering concepts such as ETL workflows and scalable data processing systems.
I am seeking opportunities where I can contribute to high-volume data extraction, automation systems, and data-driven product development.

Python Developer with 2.5+ years of experience specializing in web scraping, data extraction, and automation. Experienced in building scalable scraping systems using Requests, BeautifulSoup, Selenium, and Playwright to extract structured data from dynamic and login-based websites.
Proficient in handling bot-detection mechanisms, proxy rotation, and user-agent management for reliable large-scale data collection. Skilled in storing and processing data using CSV, JSON, SQL.
Worked on projects involving immigration portals, medical conference data, e-commerce platforms, and real estate listings, delivering accurate and high-volume datasets for business use.
Strong focus on writing maintainable, production-ready code and building efficient data extraction workflows.

Bachelor of Commerce, with additional specialization in programming and data technologies through structured online learning and hands-on project work.
Enhanced my technical expertise through:
SQL (MySQL) for data analytics and business intelligence
Python programming for automation and backend development
Data engineering fundamentals including SQL, Python, and Spark (ongoing)
This combination of business understanding and technical implementation allows me to build data extraction systems that are both technically efficient and aligned with business requirements.