Praneet Kulkarni

Background

About Praneet Kulkarni

With a strong foundation in Data Engineering and Analytics, I specialize in designing scalable ETL pipelines, optimizing data workflows, and implementing secure, HIPAA-compliant data architectures for clinical research. At CALYX, I played a key role in sourcing and modeling large-scale clinical data, ensuring compliance while enhancing data accessibility for critical decision-making. As an Agile Scrum Master, I successfully led cross-functional teams to accelerate a COVID vaccine trial, doubling its completion rate through efficient data strategies and workflow automation. Currently, as a Master’s student in Data Science at the University of Michigan-Dearborn, I am refining my analytical expertise while leveraging my software engineering background to drive data-driven solutions. My technical expertise spans data modeling, ETL development, and workflow automation, enabling me to build robust data architectures and streamline analytics for informed business and healthcare insights. Passionate about Big Data, Cloud technologies, and Healthcare Analytics, I am eager to tackle challenges at the intersection of technology and data to drive innovation and efficiency.