Sai Vikas Balabadhrapatruni
About Sai Vikas Balabadhrapatruni
Sai Vikas Balabadhrapatruni is a Data Engineer with experience in big data processing and analytics. He has worked at MerchantE and previously held positions at Stony Brook University and Wipro, and holds a Master of Science in Computer Science from Stony Brook University.
Work at MerchantE
Currently, Sai Vikas Balabadhrapatruni serves as a Data Engineer at MerchantE, a position he has held since 2023. His role involves utilizing his expertise in data engineering to support various data-related initiatives within the organization. This position is remote, allowing him to contribute effectively from anywhere in the United States.
Previous Experience at Stony Brook University
In 2023, Sai Vikas Balabadhrapatruni worked as a Research Assistant at Stony Brook University for a duration of four months. During this time, he engaged in research activities that likely involved data analysis and engineering tasks, contributing to academic projects within the university.
Experience at Wipro
Sai Vikas Balabadhrapatruni has substantial experience from his time at Wipro, where he worked as a Data Engineer. His tenure included two roles: first as a Data Engineer from 2019 to 2020 in Hyderabad, India, and later as a Data Engineer 2 from 2020 to 2021 in an on-site capacity. These positions provided him with foundational skills in data engineering.
Education and Expertise
Sai Vikas Balabadhrapatruni earned a Master of Science in Computer Science from Stony Brook University, completing his studies from 2022 to 2023. Prior to this, he obtained a Bachelor of Technology in Electronics and Computer Engineering from KL University, where he studied from 2015 to 2019. His educational background equips him with a strong foundation in data engineering principles.
Certifications and Technical Skills
Sai Vikas Balabadhrapatruni is a certified Databricks Developer for Spark 3.0. He possesses extensive experience in using various technologies and tools essential for data engineering, including Apache Spark, Informatica, Kafka, SQL, Amazon Web Services, and Hadoop. His programming proficiency includes languages such as Scala, Python, and Java, which are integral to his work in big data processing and analytics.