Raghu Valusa
About Raghu Valusa
Raghu Valusa is a Senior Data Engineer with extensive experience in data engineering and cloud solutions. He has worked for notable companies such as Verizon, Westpac, and Macquarie Group, and currently holds a position at VGW in Sydney.
Current Role at VGW
Raghu Valusa serves as a Senior Data Engineer at VGW, where he has been employed since 2022. His role involves leveraging his extensive background in data engineering to contribute to the company's data infrastructure and analytics capabilities. Based in Sydney, New South Wales, Australia, he focuses on developing and optimizing data pipelines to support business objectives.
Previous Experience at Macquarie Group
Prior to his current position, Raghu worked at Macquarie Group as a Senior Data Engineer for 11 months in Sydney, New South Wales, Australia. During this time, he contributed to various data engineering projects, enhancing the organization's data processing capabilities.
Professional Background at Verizon
Raghu Valusa has a significant tenure at Verizon, where he held multiple roles over several years. He worked as a Senior Consultant in various capacities, including Oracle Database Administrator, AWS Cloud Engineer, and DevOps Engineer from 2007 to 2017. His responsibilities included architecting and implementing cloud migration solutions and developing data engineering processes.
Technical Expertise and Skills
Raghu possesses strong technical skills in data engineering and machine learning. He has developed PySpark jobs for data ingestion and created Spark Structured Streaming applications. His expertise extends to building visualizations using Python libraries and deploying machine learning models on AWS services. He has experience with various AWS tools, including EC2, S3, and CloudFormation.
Educational Background
Raghu Valusa earned a Bachelor of Technology (B.Tech.) degree in Electrical and Electronics Engineering from Pondicherry Engineering College. His studies spanned from 2001 to 2005, providing him with a solid foundation in engineering principles that support his career in data engineering and technology.