Gokul Sai Reddy
About Gokul Sai Reddy
Gokul Sai Reddy is a Software Engineer specializing in Data Engineering at OnSolve in Bangalore, where he has worked since 2022. He holds a BTech in Computer Science from Bennett University and has expertise in Python, SQL, Spark, and data warehousing.
Work at OnSolve
Gokul Sai Reddy has been employed at OnSolve as a Software Engineer in the Data Engineering department since 2022. His role involves implementing advanced technologies to improve organizational processes. Prior to his current position, he served as a Software Intern at OnSolve for six months in 2022, where he gained practical experience in the field. His tenure at OnSolve has contributed to his professional development in data engineering.
Education and Expertise
Gokul Sai Reddy completed his Bachelor of Technology (BTech) in Computer Science at Bennett University from 2018 to 2022. His academic background has equipped him with a solid foundation in software engineering principles. He specializes in programming languages and technologies such as Python, SQL, Spark, and data warehousing, which are essential for data engineering tasks. His expertise reflects a strong understanding of industry standards and practices.
Background
Before joining OnSolve, Gokul Sai Reddy worked as a Back End Developer at MoveInSync Technology Solutions Pvt Ltd. from 2021 to 2022. During his seven-month tenure, he developed skills in back-end development, contributing to various projects. His experience in different roles has provided him with a diverse skill set in software development and data engineering.
Technical Skills
Gokul Sai Reddy possesses technical skills in several key areas relevant to data engineering. He specializes in Python, a versatile programming language widely used for data manipulation and analysis. Additionally, he is proficient in SQL for database management and querying. His knowledge of Spark enables him to handle large-scale data processing efficiently. Furthermore, his expertise in data warehousing supports effective data storage and retrieval solutions.