Amit Kumar

Python Developer, Automation, Web Scraping and Data Solutions Expert

Upwork • Freiberufler

Jan 2021 - Present • 5 yrs 9 mos

Worked with clients across e-commerce, real estate, finance, and fashion delivering scalable Python solutions in web scraping, data extraction, automation, and interactive data dashboards. Every project handled end to end — from understanding the exact requirement to delivering clean, well-documented code that clients can use, maintain, and build upon.

Data Team Lead | Automation, Project Delivery & Client Management | Analytics Career Connect (ACC)

Analytics Career Connect • Vollzeit

Oct 2024 - Sep 2025 • 11 mos

As a Python Developer turned Data Team Lead, I design and deliver scalable automation systems, data pipelines, and web scraping solutions for internal and freelance projects. I lead end-to-end project delivery — from client requirement gathering to deployment — ensuring efficiency, reliability, and performance. 🚀 Built automation tools and crawlers using Python, Selenium, Playwright, and APIs. ⚙️ Developed ETL workflows and dashboards with Pandas, MySQL, PostgreSQL, and Google Sheets API. 📊 Reduced manual processes by 70% and improved turnaround time by 40%. 🧠 Mentored junior developers and managed remote teams using Git, Trello, and Slack. 💬 Delivered 60+ client projects on Upwork and partner networks with top ratings.

Remote Python Data Engineer | ETL & API Integration | DataHub India

DataHub • Vollzeit

Oct 2023 - Aug 2024 • 10 mos

Worked remotely as a Python Data Engineer, where I designed and maintained ETL pipelines, REST API integrations, and backend data automation systems. My role focused on ensuring smooth data flow between multiple platforms and optimizing large-scale data processing tasks. I implemented automated ETL pipelines using Python and SQL to clean and transform data for reporting and analytics. Integrated third-party APIs, optimized performance scripts, and ensured data accuracy across multiple dashboards. By using Pandas, PostgreSQL, and SQLAlchemy, I reduced data processing time and enhanced system stability for internal analytics teams.