Amala Arul Malar Umakanth is an accomplished Data and Software Engineering professional with over a decade of experience spanning healthcare, pharmaceuticals, oil and energy, public services, financial services, and telecommunications. She specializes in operationalizing enterprise-scale data and unlocking the value of massive datasets through advanced analytics, cloud platforms, and big data technologies.
With deep expertise in Python, Apache Spark, SQL, and modern data engineering frameworks, Amala has led end-to-end implementations of data pipelines, enterprise data models, and AI-driven solutions. Recently, she has focused on Generative AI applications, integrating large language models and advanced NLP into healthcare claims processing and fraud detection workflows to drive efficiency and accuracy.
Her experience includes architecting cloud-based data solutions across AWS, Azure, Google Cloud, and Oracle Cloud, developing predictive analytics pipelines, and enabling AI-augmented decision-making for global clients. She has successfully designed and deployed scalable frameworks for data quality, validation, and advanced machine learning, enabling organizations to accelerate insights and ensure compliance in regulated environments.
Amala holds a Master of Science in Analytics from Bowling Green State University and a Master of Computer Applications from the University of Madras. She is AWS Cloud Practitioner and SAS Base certified, with additional training in Azure Data Engineering and AI for Everyone. Recognized for her leadership and cross-functional collaboration, she is passionate about leveraging AI and big data to transform business outcomes, particularly in healthcare and insurance domains.