Renu Yadav
About Renu Yadav
Renu Yadav is an Associate Director at UBS, with over eight years of experience in software engineering, particularly in big data solutions. She has previously held positions at Dream11, Expedia, Symantec, and Zensar Technologies, and is skilled in various programming languages and big data technologies.
Current Role at UBS
Renu Yadav serves as an Associate Director at UBS, a position she has held since 2021. She operates within the Mumbai Metropolitan Region, contributing her extensive knowledge in software engineering and big data solutions. In this role, she applies her skills in programming and data orchestration to enhance the company's technological capabilities.
Previous Experience at Dream11
Prior to her current role, Renu Yadav worked at Dream11 as a Software Development Engineer 2 (SDE 2) for a duration of seven months in 2020. Her responsibilities included developing software solutions that supported the company's gaming platform. This experience added to her expertise in software development within a competitive environment.
Background in Software Development
Renu Yadav has a solid background in software development, having worked at Zensar Technologies as a Software Developer from 2011 to 2014. She gained foundational experience in programming during her time there, which laid the groundwork for her future roles in the tech industry. Following Zensar, she held positions at Symantec and Expedia, where she advanced her skills in data engineering and software development.
Education and Expertise
Renu Yadav earned her Bachelor of Engineering (BE) in Information Technology from Savitribai Phule Pune University, completing her studies from 2007 to 2011. Her education provided her with a strong technical foundation, which she has built upon through over eight years of experience in software engineering. She has developed expertise in programming languages such as Java and Scala, as well as big data technologies including Hadoop, Spark, and AWS.
Technical Skills and Tools
Renu Yadav is skilled in various programming languages and tools relevant to big data solutions. Her proficiency includes Java, Scala, Hbase, Hive, and Mapreduce. Additionally, she has experience with data orchestration tools like Oozie and Airflow, and has worked with data streaming technologies such as Spark Streaming and AKKA, enhancing her capability to manage and analyze large datasets effectively.