Ayush Arora
About Ayush Arora
Ayush Arora is a Senior Data Engineer currently employed at LiveRamp in the San Francisco Bay Area. He has a diverse background in data engineering, having previously worked at Newgen Software, RoadCast Tech Solutions, and the University of San Francisco, among others.
Work at LiveRamp
Ayush Arora currently serves as a Senior Data Engineer at LiveRamp, a position he has held since 2023. He previously worked as a Data Engineer at LiveRamp from 2021 to 2023. In his role, he is involved in managing a distributed identity graph that is approximately 30 petabytes in size as part of the Online Identity team. He has contributed to significant projects, including the transformation of a multi-million dollar static graph building system into a dynamic one, which has enabled downstream teams to build graphs on the fly and achieve cost savings.
Education and Expertise
Ayush Arora holds a Master of Science in Computer Science from the University of San Francisco, where he studied from 2019 to 2021. He also earned a Bachelor's degree in Computer Science from Manav Rachna Educational Institutions, completing his studies from 2012 to 2016. His technical expertise includes a diverse tech stack, featuring Java, SQL, Hadoop, Spark, and cloud technologies such as GCP. He has also gained practical experience through various internships and roles in the field of software engineering.
Background
Before joining LiveRamp, Ayush Arora worked at several organizations in various capacities. He was a Software Engineer at Newgen Software from 2017 to 2018 and later served as a Full Stack Data Engineer at RoadCast Tech Solutions Pvt Ltd from 2018 to 2019. His experience also includes internships at Spillbox as a Cloud Infrastructure Intern in 2020 and at New Delhi Municipal Council as a Software Engineer Intern in 2015. Additionally, he has worked in academic roles at the University of San Francisco, including as a Teaching Assistant and Student Tutor.
Achievements
Ayush Arora has been involved in key projects that demonstrate his technical capabilities. Notably, he played a significant role in the Dataproc upgrade for Hadoop/Spark systems to address deprecation issues. His leadership in transforming a static graph building system into a dynamic one at LiveRamp has contributed to operational efficiency and cost savings. He has also received mentorship from industry professionals, which has supported his professional development.