With extensive experience in building scalable data pipelines and optimizing cloud-based data architectures, Madhav brings deep technical expertise and a commitment to data quality to his role as a Data Engineer at Luminosity. He designs and implements efficient data pipelines that integrate, transform, and standardize justice system data for analytical use. His work focuses on SQL optimization, data modeling, and developing robust data solutions across modern cloud platforms and data warehousing technologies. He is recognized for his ability to migrate complex datasets to cloud environments, implement rigorous data validation processes, and deliver well-structured datasets that enable meaningful insights and informed decision-making.

Madhav holds a Master’s degree in Business Analytics and Information Systems from the University of South Florida and a Bachelor’s degree in Electrical, Electronics and Communications Engineering from Amrita University. Before joining Luminosity, he held data engineering roles in healthcare and enterprise sectors, where he built automated data workflows, strengthened data security protocols, and created scalable solutions that improved data accessibility and analytical capabilities across organizations.