Mr. Teja Krishna Kota

AI-Powered Data Engineering in Healthcare: From Cloud Pipelines to Clinical Impact.

Abstract:

 In today’s healthcare ecosystem, the convergence of AI, cloud-native data engineering, and scalable infrastructure is redefining how clinical and operational insights are delivered. This keynote explores the evolution of data engineering workflows-from traditional enterprise data warehouses to real-time, AI-augmented architectures that support diagnostics, risk prediction, and personalized care.

Drawing on industry experience from building high-performance pipelines at large healthcare firms like Humana, I will share practical strategies for integrating large language models (LLMs), secure multi-cloud ETL frameworks, and governed data platforms to enable data-driven decision-making. We will also examine challenges in handling sensitive health data at scale, implementing AI responsibly, and ensuring compliance in regulated environments.

Profile:

Teja Krishna Kota is a Senior Data Engineer at Humana with over 5 years of experience architecting and optimizing data platforms in healthcare. His expertise spans cloud migration, ETL pipeline design, and secure data engineering across Azure and Databricks ecosystems. At Humana, he led the end-to-end migration of enterprise data to Delta Lake, improving processing efficiency and governance. Teja is a certified Azure and Databricks professional, with multiple publications focused on cloud-native and AI-driven data solutions. He is passionate about leveraging scalable data architectures to drive real-world clinical outcomes.