Praveen Markondapatnaikuni

Praveen Markondapatnaikuni

Big Data Engineer @ Sutter Health

About Praveen Markondapatnaikuni

Praveen Markondapatnaikuni is a Big Data Engineer at Sutter Health, specializing in building Big Data platforms using Hadoop. He has extensive experience in data processing systems and has held various technical roles at institutions like Stanford University and Kaiser Permanente.

Work at Sutter Health

Praveen Markondapatnaikuni has been employed at Sutter Health as a Big Data Engineer since 2015. In this role, he focuses on building mission-critical Big Data platforms utilizing Hadoop for both batch processing and streaming applications. He has developed automated data processing systems that enhance the efficiency of data handling within the organization. Additionally, he provides strategic recommendations to data scientists and analytic users, aiming to improve performance and data utilization.

Previous Experience in Technology

Before joining Sutter Health, Praveen Markondapatnaikuni worked at Kaiser Permanente as a Tech Lead from 2010 to 2015. His responsibilities included designing and creating data models and databases to support organizational data needs. He also held the position of Senior Developer at GSS Infotech from 2008 to 2009 and at Stanford University from 2009 to 2010, where he contributed to various development projects.

Education and Expertise

Praveen Markondapatnaikuni earned a Master of Science (M.S.) degree in Industrial Engineering from Cleveland State University, where he studied from 2006 to 2007. His educational background supports his expertise in building Big Data platforms and developing automated data processing systems, which are essential for enhancing data efficiency in his current role.

Professional Skills

Praveen Markondapatnaikuni specializes in building Big Data platforms and has extensive experience with Hadoop for both batch processing and streaming applications. His skills include designing data models and databases, as well as providing strategic recommendations to improve data performance and utilization for analytic users.

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