Summary
Nachiket Dabhade is a data engineer with 8 years of experience building production-grade data pipelines, BI solutions, and analytics platforms across manufacturing, logistics, and global services. He holds an MS in Data Science from the University at Buffalo and has delivered cost- and waste-reduction initiatives—such as reducing material waste by 35% and scaling production fivefold—by combining SQL, Python, Azure ETL, and Power BI. At Tata he led global reporting across EMEA, AMER, and APJ and designed cost-efficient pipelines that cut operational costs by 15%, and he now applies that same pragmatic, outcome-focused approach at LVT Labs. Known for turning messy operational data into clean, scalable ecosystems, he pairs technical depth with client-facing experience to drive strategic decisions. Off the clock he’s curious about the workings of the universe (and enjoys ice cream), a detail that underscores a blend of technical curiosity and human curiosity in his work.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University at Buffalo
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Mumbai