Yifat Shani
About Yifat Shani
Yifat Shani is a Data Engineering Group Manager with extensive experience in managing high-scale data operations. She has held various roles in notable companies, including Barclays and Kenshoo, and holds both a Bachelor of Science and a Master of Science in Business Management from Tel Aviv University.
Current Role at CrazyLabs
Yifat Shani currently serves as the Data Engineering Group Manager at CrazyLabs. She has held this position since 2021, overseeing data engineering initiatives and managing high-scale data operations. Her role involves leading a team to ensure efficient data processing and analytics, contributing to the company's data-driven decision-making processes.
Previous Experience at CrazyLabs
Prior to her current role, Yifat Shani worked at CrazyLabs as the Data Engineering Team Lead for seven months in 2020. In this position, she was responsible for guiding the data engineering team and implementing strategies to enhance data management practices within the organization.
Professional Background in Data Engineering
Yifat Shani has a robust background in information technology, particularly in managing high-scale data environments. She has held various positions that required expertise in big data technologies, including her role as Big Data Team Lead at Kenshoo from 2018 to 2020 and as a Scala and Big Data Developer at Barclays from 2015 to 2018.
Educational Qualifications
Yifat Shani studied at Tel Aviv University, where she earned a Bachelor of Science (BSc) in Business Management from 2002 to 2004. She furthered her education by obtaining a Master of Science (MSc) in Business Management from the same institution. Her academic background supports her professional expertise in data management and engineering.
Freelance Experience
Before her tenure at Barclays, Yifat Shani worked as a Freelance Data Analyst at Formula Group from 2014 to 2015. This role allowed her to develop her analytical skills and gain experience in data analysis, which contributed to her later positions in the field of data engineering.