Srinivasa Ambati is a results-driven IT leader with over 18 years of progressive experience in designing, developing, and administering software applications across diverse analytical platforms and multi-cloud environments. With deep expertise in SAS, SAS Viya, AWS, Hadoop, Big Data, Python, and cutting-edge AI-based tools, he has successfully led large-scale architecture implementations, system upgrades, and migration strategies for enterprise-level organizations. Srinivasa possesses a strong command of cloud technologies spanning AWS, Azure, and Google Cloud Platform, along with extensive proficiency in data warehousing, ETL processes, RDBMS, and business intelligence solutions.

Currently serving as Engineer Lead at Elevance/Anthem Inc., he spearheads the creation of scalable and secure data solutions that power analytics, business intelligence, and advanced AI applications. His responsibilities encompass establishing enterprise-wide data governance frameworks, designing fault-tolerant architectures, and optimizing high-performance data processing pipelines. Over his career, Srinivasa has demonstrated exceptional ability in cross-functional collaboration, working closely with business stakeholders, data scientists, and engineers to translate complex business requirements into efficient, sustainable technical solutions.

His earlier roles at Cognizant, IBM, and Synova Innovative Technologies further strengthened his skills in system administration, architecture modernization, and high-availability infrastructure design. Srinivasa is known for delivering innovative solutions—ranging from LSF-based SAS GRID architectures to advanced cloud-based analytics platforms—and ensuring systems meet stringent security and compliance standards such as GDPR, CCPA, and HIPAA.

An AWS Certified Solutions Architect, PMP-certified project manager, and SAS Base Certified professional, Srinivasa combines strong technical acumen with leadership excellence, ensuring that data-driven systems not only meet current needs but are also future-ready. His career reflects a commitment to continuous learning, innovation, and operational excellence in the rapidly evolving data and analytics landscape.