Hemanthsai

I’m Hemanthsai Uppu, a seasoned Senior Data Engineer & Python Developer with over 8 years of diverse industry experience spanning Insurance, Healthcare, E-commerce, Aviation, and Automotive (BMW) domains. I specialize in building robust data pipelines, crafting intelligent data solutions, and delivering reliable, end-to-end application development using Python, AWS, Machine Learning, and NLP.

Throughout my career, I have successfully handled high-impact roles with top companies like Quantiphi, Anuvu, EY, and UST Global, delivering scalable systems and automating critical data processes across complex ecosystems. My strength lies in combining deep data engineering skills (Glue, Lambda, Airflow, Terraform) with advanced AI/ML capabilities (Scikit-learn, TensorFlow, NLP libraries like NLTK & SpaCy) to build powerful, intelligent solutions that drive measurable results.

Whether it’s:

• Designing and deploying real-time ETL pipelines in AWS,
• Developing production-grade APIs using Flask or Django,
• Automating workflows with Airflow or Jenkins,
• Crafting custom NLP models for chatbots and document parsing,
• Or visualizing insights with Tableau, Power BI, or Kibana —

I deliver solutions that are not just functional, but clean, scalable, and future-ready.

What sets me apart is my hands-on, full-stack mindset. I don’t just write code — I understand the business context, work across cross-functional teams, follow best practices (CI/CD, test coverage, peer reviews), and ensure the end product aligns perfectly with the client’s goals.

I’ve also delivered end-to-end freelance projects independently — from network monitoring dashboards to survey platforms — handling everything from architecture, UI/UX mockups, backend APIs, database design, and deployment.