Sindhu Venkatesh
About Sindhu Venkatesh
Sindhu Venkatesh is a Senior Software Engineer specializing in Data Analytics at Recorded Future in Gothenburg, Sweden. She holds a Bachelor of Engineering in Computer Science from M S Ramaiah Institute of Technology and a Master of Science in Computer Science from San Diego State University.
Work at Recorded Future
Sindhu Venkatesh serves as a Senior Software Engineer specializing in Data Analytics at Recorded Future. She has been in this role since 2022, contributing her expertise in data-intensive applications and analytics. Based in Gothenburg, Vastra Gotaland County, Sweden, she focuses on leveraging big data technologies to enhance data processing and analysis capabilities within the organization.
Education and Expertise
Sindhu Venkatesh holds a Bachelor of Engineering (B.E.) in Computer Science from M S Ramaiah Institute of Technology, where she studied from 2011 to 2015. She furthered her education with a Master of Science (M.S.) in Computer Science from San Diego State University, completing her studies from 2016 to 2018. Her academic background supports her strong skills in data engineering, machine learning, and performance analysis of various database systems.
Background in Software Engineering
Sindhu Venkatesh has a diverse background in software engineering, beginning her career at Accenture in India as an Associate Software Engineer from 2015 to 2016. She then worked at Mindtree as a Senior Software Engineer from 2018 to 2019. Following this, she joined Volvo Group as a Data Engineer from 2021 to 2022, before taking her current position at Recorded Future. Additionally, she gained research experience as a Research Assistant at San Diego State University from 2017 to 2018.
Technical Skills and Proficiencies
Sindhu Venkatesh is skilled in developing data-intensive applications utilizing big data technologies. She has expertise in performance analysis of MySQL, PostgreSQL, and Couchbase databases. Her proficiency extends to the AWS Cloud Platform for data engineering tasks and she has experience in Spark development using both Scala and Python. Her strong background in machine learning complements her data engineering skill set.