Sarah U.
About Sarah U.
Sarah U. is a Senior Data Engineer at Condé Nast, where she has worked since 2022, after previously serving as a Data Engineer at the same company. She has a background in software engineering and data science, with notable contributions to streaming ETL pipelines and real-time data processing.
Work at Condé Nast
Sarah U. has been employed at Condé Nast since 2022 as a Senior Data Engineer. In this role, she has pioneered streaming ETL pipelines that are resilient to schema changes, supporting consumer events for 12 brands and over 2 million customers. Prior to her current position, she worked at Condé Nast as a Data Engineer from 2020 to 2022, where she restructured a near real-time pipeline, enhancing the performance of welcoming emails for brands such as Vogue and Vanity Fair by 20%.
Education and Expertise
Sarah U. holds a Bachelor of Science in Computer Engineering from Bilkent University, where she studied from 2010 to 2016. She furthered her education at UCLA Extension, studying Computer Science from 2019 to 2020. Her academic background provides a solid foundation for her expertise in data engineering and software development.
Background in Data Engineering
Sarah U. began her career in data engineering as a Data Engineer Fellow at Insight Data Science in 2020, where she worked for three months in Los Angeles. She also served as a Research Assistant at USC Viterbi School of Engineering for four months in the same year. Her early experiences contributed to her skills in developing data-driven solutions.
Software Development Experience
In addition to her data engineering roles, Sarah U. has experience in software development. She worked as a Software Engineer at NKR Yazılım Danışmanlık Sanayi ve Ticaret Ltd.Şti. and TUBITAK BILGEM YTE in Turkey. She also designed and implemented accounting and QR payment software at SLN Automation using C#, .NET, and MS SQL.
Innovative Projects and Collaborations
Sarah U. co-founded Darkcoin, where she developed a tool for identifying public keys used in Bitcoin transactions on the Dark Web, utilizing technologies such as Apache Spark, PostgreSQL, Cassandra, and Neo4J. Additionally, she collaborated with USC to develop a haptic vest for VR games, which was showcased at the 2020 IEEE Symposium.