Oved Sablan

Oved Sablan

Staff Data Engineer @ Codility

About Oved Sablan

Oved Sablan is a Staff Data Engineer currently working at Codility in Berlin, Germany. He has extensive experience in data engineering and management, having held various roles at companies such as Zalando SE, smava GmbH, and Wayfair.

Work at Codility

Oved Sablan currently serves as a Staff Data Engineer at Codility, a role he has held since 2023. In this position, he applies his extensive experience in data engineering to enhance the company's data infrastructure and processes. His responsibilities include designing and implementing data solutions that support the company's goals and improve operational efficiency.

Previous Experience at Zalando SE

Oved Sablan worked at Zalando SE as a Senior Big Data / DWH Developer from 2014 to 2016. During his two years in the Berlin Area, Germany, he contributed to the development of data warehousing solutions, leveraging his skills in big data technologies to support the company's analytics and reporting needs.

Experience at smava GmbH

At smava GmbH, Oved Sablan held multiple roles over five years, from 2016 to 2021. He started as a Senior DWH Developer and later became the Data Warehouse Team Lead and Head of Data Infrastructure. His work involved managing and scheduling ETL jobs, developing BI reports using IBM Cognos Report Studio, and overseeing the data warehouse's maintenance and quality assurance.

Role at Wayfair

Oved Sablan served as a Staff Data Architect at Wayfair from 2021 to 2023. In this capacity, he focused on data architecture and integration, utilizing his expertise to support the company's data-driven initiatives. His role involved designing data solutions that aligned with Wayfair's strategic objectives.

Education and Expertise

Oved Sablan holds a Bachelor of Arts in Middle Eastern Studies from Tel Aviv University, which he completed from 2003 to 2006. He furthered his education with a Master of Arts in Middle Eastern Studies, focusing on the Turkish track at Leiden University from 2007 to 2008. His academic background complements his technical expertise in data engineering and business intelligence.

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