Summary
Jay Borkar is a Senior Data Analytics Engineer and Data Scientist with over a decade of experience building scalable ETL, streaming, and ML pipelines for enterprise customers, currently driving analytics at Salesforce in New York. He has led cross-functional teams and delivered high-throughput data ingestion (50+ TB/day) and real-time dashboards, while improving ML pipeline efficiency and inference latency by substantial margins using PySpark, Airflow, Databricks, and MLflow. Prior roles at Foot Locker and projects from Rutgers showcase applied geospatial and trade-area modeling that drove measurable sales uplifts, plus end-to-end risk modeling deployed as web APIs. Jay pairs hands-on engineering (Spark, Kafka, Azure, Docker/K8s) with mentoring and product-facing decision support, and has a formal data science background from Rutgers complemented by executive coursework at Columbia Business School. A pragmatic optimizer, he often focuses on shaving order-of-magnitude performance improvements in production ML systems rather than just prototyping models.
10 years of coding experience
4 years of employment as a software developer
Executive Education, Executive Education at Columbia Business School
Birla Institute of Technology, Mesra
Master of Science - MS, Computer Science Data science, Master of Science - MS, Computer Science Data science at Rutgers University
English, French, Hindi, Marathi