Rohith Sai
About Rohith Sai
Rohith Sai is a Senior Big Data Engineer at UBS, where he has worked since 2021. He has extensive experience in data engineering, having previously held positions at Vanguard, Global Atlantic Financial Group, and Equifax.
Work at UBS
Rohith Sai has been employed at UBS as a Senior Big Data Engineer since 2021. He works remotely from Weehawken, New Jersey. In this role, he focuses on developing and implementing big data solutions, leveraging his expertise in data engineering to support UBS's data initiatives.
Previous Experience in Big Data Engineering
Before joining UBS, Rohith worked at Vanguard as a Big Data Engineer from 2020 to 2021, where he contributed to data engineering projects remotely from Malvern, Pennsylvania. His career also includes a position at Global Atlantic Financial Group as a Data Engineer from 2017 to 2020 in Indianapolis, Indiana, where he worked in a hybrid environment. Earlier, he served as a Hadoop-Spark Developer at Nurture Software Solutions in India from 2016 to 2017 and as a Java/Hadoop Developer at Equifax from 2014 to 2016.
Education and Expertise
Rohith Sai earned a Bachelor's degree in Computer Science from JNTUH College of Engineering Hyderabad, completing his studies from 2010 to 2014. His educational background provides a strong foundation for his work in big data and data engineering, enabling him to develop complex data solutions and implement advanced technologies.
Technical Skills and Projects
Rohith has developed and deployed AWS Lambda functions for ETL migration services, creating serverless data pipelines. He has experience in building end-to-end data pipelines using Python and PySpark, and has automated these processes with scheduling tools like Airflow. His technical skills include working with NoSQL databases such as Cassandra and HBase, and leveraging Spark SQL in Azure Databricks for data transformation and aggregation.
Contributions to Data Solutions
Throughout his career, Rohith has implemented and refined SOA design principles to address complex business challenges. He has designed ETL processes in AWS Glue for data migration and provisioned storage accounts while setting up Azure Data Factory. His work ensures continuous uptime and meets stringent SLA requirements, demonstrating his commitment to operational excellence.