Vijay Reddy G
About Vijay Reddy G
Vijay Reddy G is a Cloud Engineer Tech Lead with extensive experience in database engineering and cloud technologies. He has worked at prominent companies such as Thomson Reuters and Oracle India, and possesses expertise in containerization, automation, and machine learning.
Current Role as Cloud Engineer Tech Lead
Currently, Vijay Reddy G serves as a Cloud Engineer Tech Lead at Thomson Reuters. He has held this position since 2021 in Bengaluru, Karnataka, India. In this role, he utilizes his extensive knowledge in cloud technologies and engineering to lead projects and teams, focusing on optimizing cloud infrastructure and services.
Previous Experience at Thomson Reuters
Vijay Reddy G has a significant history with Thomson Reuters, where he worked in various capacities. He was a Senior Database Engineer in Service Engineering from 2016 to 2019 and served as an Associate Tech Lead in Database and Cloud Engineering from 2019 to 2021. His roles involved managing database systems and contributing to cloud engineering initiatives.
Professional Background in Database Administration
Vijay Reddy G has extensive experience in database administration. He worked as a Senior Oracle DBA at Atos for one year and later at Oracle India for four years. His responsibilities included database management, performance tuning, and support for enterprise-level applications. He also held a position as a Principal Support Engineer at Oracle India for nine months.
Educational Qualifications
Vijay Reddy G completed his Master of Computer Applications (MCA) in Computer Science from RICS, SV University, from 2001 to 2004. He also achieved his Secondary School Certificate (SSC) from SPG High School in 1996. His educational background provides a solid foundation for his technical expertise in cloud engineering and database management.
Technical Skills and Expertise
Vijay Reddy G possesses a diverse skill set in technology. He is proficient in multiple programming languages, including Unix Shell, Python, Ruby, SQL, and PySpark. He has expertise in containerization technologies such as Docker and Kubernetes, and is experienced in automation and orchestration using Puppet. Additionally, he has knowledge of machine learning techniques, including neural networks and natural language processing.