Shravan Muthyala

Shravan Muthyala

Lead Data Engineer @ Transamerica

About Shravan Muthyala

Shravan Muthyala is a Lead Data Engineer with a Master's degree in Computer Science from Osmania University. He has extensive experience in designing ETL applications and data ingestion frameworks, and has worked with various technologies throughout his career.

Work at Transamerica

Shravan Muthyala has served as the Lead Data Engineer at Transamerica since 2014. In this role, he has been responsible for designing and developing reusable framework components for on-prem Datalake ingestion. His work involves utilizing various technologies, including Informatica Powercenter, Hive, Impala, Spark SQL, PySpark, Shell Scripting, and Oracle. He has also participated in disaster recovery exercises, contributing to the organization's resilience and operational continuity.

Education and Expertise

Shravan Muthyala earned a Master's degree in Computer Science from Osmania University, where he studied from 2000 to 2003. His educational background provides a strong foundation for his technical skills and expertise in data engineering. He has extensive experience in developing ETL applications and working with various data technologies, which supports his current role in data engineering.

Background

Before joining Transamerica, Shravan Muthyala worked at Tech Mahindra (formerly Mahindra Satyam) as a Project Lead from 2003 to 2009. He then transitioned to HTC Global Services, where he served as a Technical Consultant from 2011 to 2014. His career spans over a decade in data engineering and project leadership, with a focus on ETL processes and data integration.

Technical Skills and Projects

Throughout his career, Shravan Muthyala has developed a range of technical skills. He has designed and built ETL applications for extracting data from Mainframe and relational data sources using tools such as Informatica Powerexchange, Sqoop, and Shell scripting. His involvement in cloud implementation projects, particularly with Delta Lake, highlights his adaptability to emerging technologies in data management.

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