Sai Swapnesh Pahi

Enterprise Data Engineer Intern @Delaware North

Buffalo, NY, US

Engineered an interactive Databricks App using Python Shiny for CRUD operations on lookup table, enabling users to add, edit, and delete validation records via a unified UI. This automated validation workflow reduced manual data correction time by ≈ 90%- Implemented a real-time MLB operations dashboard in Databricks integrating SportsData.io API, PED transactions, and POS metrics, improving in-game decision speed (hours to 30 sec) and accuracy for operations teams- Developed high-performance Delta Lake pipelines with PySpark, Z-Ordering, and Bloom filters, reducing query time to <7 seconds on 50M+ records and accelerating data onboarding from weeks to days CI/CD + Terraform- Designed and deployed an NLP-based predictive model using Python (Scikit-learn, embeddings) to categorize food, beverage, and merchandise items with 90% accuracy, reducing manual reporting time for analysts by 90%- Collaborated with product and architecture teams to present feature demos to business stakeholders.

HAL Public School - India

High School (CBSE Class- XII), Computer Science

Nitte Meenakshi Institute of Technology

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

University at Buffalo School of Engineering and Applied Sciences

Master of Professional Studies in Data Science and Applications, Computer Science

DAV Public School

High School (CBSE Class-X)