Amir Ben Ari
About Amir Ben Ari
Amir Ben Ari serves as the Monetization and Data Engineering Squad Leader at RapidAPI, where he has worked since 2020. He oversees API traffic processing and data management, utilizing AWS Kinesis and Kafka, while also supporting data-driven decision-making for large enterprises.
Work at RapidAPI
Amir Ben Ari has served as the Monetization and Data Engineering Squad Leader at RapidAPI since 2020. In this role, he oversees the processing of API traffic and usage data for large enterprises within a multi-tenant and multi-region environment. He leads the development and maintenance of data pipelines utilizing AWS Kinesis and Kafka ecosystems. Additionally, he is responsible for managing the platform's data lake and handles the exchange of funds and charges between API Builders and Consumers. His work supports data-driven decision-making for enterprises regarding their API operations management and strategy.
Previous Experience
Prior to his current position, Amir Ben Ari held several roles in the technology sector. He worked as a Software Engineering Manager at Silo Kitchen Inc. from 2016 to 2020. Before that, he served as a Search Solutions Architect at eWave from 2011 to 2013. He also worked at DealPly Technologies Ltd. as a Web Metadata Extraction Leader and as a Java/J2E - Search Server Backend Developer from 2013 to 2015. Additionally, he was the Big Data Applications Team Leader at Wiser from 2015 to 2016.
Education and Expertise
Amir Ben Ari studied at the Technion - Israel Institute of Technology, where he earned a Bachelor of Science degree in Industrial Engineering, majoring in Business Information Systems, from 2007 to 2011. His educational background provides a strong foundation for his expertise in data engineering and monetization strategies within the technology sector.
Technical Skills and Responsibilities
In his current role at RapidAPI, Amir Ben Ari develops data-driven products that support the API Builder and Consumer life cycle. He manages the internal messaging infrastructure and ensures efficient data processing and analysis. His responsibilities include overseeing complex data pipelines and facilitating the effective exchange of information and funds between users on the platform.