Pavan Akula
About Pavan Akula
Pavan Akula is an Enterprise Technology Architect currently working at Highmark Inc. He has extensive experience in data architecture and project management, having held various roles in prominent companies over the past two decades.
Current Role at Highmark
Pavan Akula currently serves as an Enterprise Technology Architect at Highmark Inc., a position he has held since 2022. In this role, he focuses on designing and implementing technology solutions that enhance the company's data architecture and overall IT infrastructure. His work contributes to the development of resilient and high-availability data platforms, which are crucial for supporting the organization's operational needs.
Previous Experience at Citizens
Prior to his current role, Pavan Akula worked at Citizens as a Principal Data Architect and Vice President from 2021 to 2022. During his 10-month tenure in Stamford, Connecticut, he was responsible for overseeing data architecture initiatives and ensuring the effective management of data resources within the organization.
Professional Background in Data Architecture
Pavan Akula has extensive experience in data architecture, having worked in various roles over the years. He served as a Project Lead in Database Administration at Egon Zehnder from 2015 to 2021 and as a Senior IT Analyst in the same field from 2010 to 2015. His background includes expertise in implementing replication, change data capture (CDC), and data conflict resolution in multi-master database systems.
Educational Qualifications
Pavan Akula holds a Master of Science in Data Science from the CUNY School of Professional Studies, which he completed from 2017 to 2018. He also earned a Post Graduate Diploma in Management Information Systems and Computer Applications from Osmania University in 1997. Additionally, he received a Bachelor of Science in Statistics from Osmania University in 1996.
Technical Skills and Methodologies
Pavan Akula possesses a strong technical skill set, including experience with Agile and Waterfall project management methodologies. He is knowledgeable in emerging data architecture design patterns, such as Data Lake and distributed Data Mesh, which are essential for modern data management strategies. His ability to design high resilient and recoverable data platforms is a key aspect of his professional expertise.