Ankit Soni
@ankitsoni1
Python developer specializing in web scraping, ETL pipelines, and data automation.
What I'm looking for
I am a Python developer with three years of hands-on experience designing scalable web scrapers, API integrations, and ETL pipelines that process over 1M+ records daily. I build robust, production-grade automation using Scrapy, Selenium, Playwright, Pandas, PySpark and database optimizations across MySQL, PostgreSQL and MongoDB to deliver reliable data for analytics and business intelligence.
I have delivered 15+ scrapers for e-commerce, ticketing, insurance and food delivery domains, reduced scraping failures by 40% through anti-bot measures, and cut manual data work by 70% via automated cleaning and transformation. I deploy and orchestrate solutions with AWS Lambda, Apache Airflow and Cron, and focus on performance tuning, logging, and alerting to ensure reliable, scalable data pipelines.
Experience
Work history, roles, and key accomplishments
Python Developer
X-Byte Enterprise Solutions
Apr 2023 - Oct 2025 (2 years 6 months)
Built 15+ scalable web scrapers and ETL workflows processing 1M+ rows daily, reduced scraping failures by 40% via proxy rotation and automation, and improved query performance by 30% through SQL optimization.
Education
Degrees, certifications, and relevant coursework
Sage University, Indore
Master of Computer Applications, Computer Applications
2020 - 2022
Master of Computer Applications (MCA) completed from 2020 to 2022 focusing on advanced computing and application development.
M.L. College of Technology, Rewa
Bachelor of Computer Applications, Computer Applications
2016 - 2019
Bachelor of Computer Applications (BCA) completed from 2016 to 2019 with foundation in programming, databases, and software development.
Universal Infotech, Indore
Certificate, Web Development
Python and Django Fullstack Certificate Course completed; focused on Python development and Django web frameworks.
Great Learning
Certificate, Data Science
Completed Python for Data Science course focused on data analysis and Python-based data tooling.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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