Brahmam T.
About Brahmam T.
Brahmam T. is a Data Engineer II at Brillio, where he has worked since 2022, specializing in containerization with Docker and incident management with Opsgenie. He has a background in Electrical and Electronics Engineering and previously held positions at Brillio and Cognizant.
Work at Brillio
Brahmam T. currently serves as a Data Engineer II at Brillio, a position he has held since 2022 in the United States. In this role, he focuses on data engineering tasks utilizing containerization with Docker products. His responsibilities also include employing Opsgenie for incident management and utilizing Apache Airflow for ETL processes. Brahmam's experience at Brillio follows a previous tenure as a Data Engineer from 2018 to 2022 in Bengaluru, Karnataka, India, where he developed his skills in data solutions.
Education and Expertise
Brahmam T. earned a Bachelor of Technology (BTech) degree in Electrical and Electronics Engineering from Sri Ramaswami Memorial, completing his studies from 2011 to 2015. His educational background provides a foundation for his expertise in data engineering, particularly in infrastructure automation using AWS CloudFormation. Brahmam's academic training complements his practical experience in the field.
Background
Before joining Brillio, Brahmam T. worked at Cognizant as an Associate Programmer from 2015 to 2017 in Bengaluru, Karnataka, India. This role contributed to his development in programming and data management, setting the stage for his subsequent positions in data engineering. His transition from Cognizant to Brillio marked a significant step in his career, allowing him to focus on data engineering tasks and solutions.
Achievements
Brahmam T. has a proven track record of designing and implementing data solutions that deliver impactful insights for organizations. His work in data engineering has involved utilizing advanced tools and methodologies, demonstrating his capability in the field. His contributions to various projects reflect his commitment to enhancing data management and engineering practices.