Suhas Reddy Bondugula
About Suhas Reddy Bondugula
Suhas Reddy Bondugula is a Data Engineer with over five years of experience in Information Technology. He holds a Bachelor's degree in Computer Science from Jawaharlal Nehru Technological University and a Master's degree in Data Science from the University of North Texas.
Work at TechStar Group
Suhas Reddy Bondugula has been employed at TechStar Group as a Data Engineer since 2019. In this role, he applies his skills in Big Data and Hadoop ecosystems, as well as SQL and No-SQL databases. His work involves utilizing industry-accepted methodologies and procedures to manage and analyze data effectively. Prior to his current position, he served as a Data Analyst at TechStar Group from 2016 to 2018, where he gained foundational experience in data analysis.
Education and Expertise
Suhas Reddy Bondugula holds a Bachelor of Technology (BTech) degree in Computer Science from Jawaharlal Nehru Technological University, Hyderabad, which he completed from 2012 to 2016. He furthered his education by obtaining a Master's degree in Data Science from the University of North Texas, studying from 2018 to 2019. His expertise encompasses Big Data technologies, SQL and No-SQL databases, and Java technologies.
Background
Suhas Reddy Bondugula has over 5 years of diversified experience in Information Technology. He began his career as a Data Analyst at TechStar Group in Hyderabad, Telangana, India, where he worked for two years before transitioning to his current role as a Data Engineer in Irving, Texas, United States. His educational background and professional experiences have equipped him with a strong foundation in data management and analysis.
Professional Experience
Suhas Reddy Bondugula has accumulated significant experience in the field of Information Technology, with a focus on data engineering and analysis. His professional journey includes two years as a Data Analyst at TechStar Group, where he developed skills in data interpretation and reporting. Since 2019, he has been working as a Data Engineer, where he leverages his knowledge of Big Data and database technologies to enhance data processing and analytics.