Murugan Muthu

Murugan Muthu

Manager, Data Engineering @ Bridg

About Murugan Muthu

Murugan Muthu is a Manager of Data Engineering with extensive experience in data analysis, warehousing, and cloud architecture. He has held significant roles at companies such as OceanX, Bridg, and Cognizant, and holds multiple certifications in data management and analytics.

Current Role at Bridg

Murugan Muthu serves as the Manager of Data Engineering at Bridg, a position he has held since 2022. In this role, he oversees data engineering projects and leads a team focused on data management and analytics. His responsibilities include ensuring the effective use of data technologies and methodologies to enhance business operations within the organization.

Previous Experience at OceanX, LLC

Prior to joining Bridg, Murugan worked at OceanX, LLC as a Senior Data Engineer and Team Leader from 2014 to 2022. During his eight years at the company, he contributed to various data engineering initiatives and led a team in El Segundo, California, focusing on data architecture and analytics solutions.

Professional Background at Cognizant

Murugan Muthu's career includes significant experience at Cognizant, where he worked as a Senior Developer from 2011 to 2014 and as a Developer from 2007 to 2012. His tenure at Cognizant spanned five years in Chennai, India, and three years in the United States, allowing him to develop a strong foundation in software development and data engineering.

Educational Background

Murugan earned his Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from Anna University Chennai, completing his studies from 2003 to 2007. This educational background provided him with essential technical knowledge and skills applicable to his career in data engineering and analytics.

Certifications and Technical Skills

Murugan holds multiple Google certifications, including Advanced Google Analytics, Google Data Studio, Google Tag Manager, and Google Campaign Manager. He utilizes programming languages such as R and Python for data analysis and predictive modeling. His technical expertise extends to data warehousing technologies, including Oracle, Snowflake, Redshift, and MS SQL Server, along with experience in multi-cloud architecture, particularly with AWS solutions.

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