Chandra Pavuluri is an Energy Data Engineer with eight years of experience building scalable data pipelines and turning large energy datasets into actionable operational insights. Currently pursuing a Master's in Data Science at Arizona State University, he applies Spark, PySpark, Azure cloud services and visualization tools to optimize energy consumption analytics for university facilities. His background includes consulting and enterprise modernization work—designing data mesh and marketplace solutions at Accenture and building production ETL systems at Exusia and MAQ Software—so he blends practical engineering with stakeholder-driven problem solving. As a graduate teaching assistant he also mentors students on Tableau and hands-on dashboarding, reflecting a talent for translating technical results into clear decisions. Notably, he pairs domain-focused energy analytics with a cloud-native, production-first mindset, enabling faster migration from legacy warehouses to automated, consumable data products.
8 years of coding experience
3 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Arizona State University
Bachelor of Technology (BTech) Computer Science and Engineering, Bachelor of Technology (BTech) Computer Science and Engineering at Indian Institute Of Information Technology Kalyani
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