Eliran Mastor

Test Automation Engineer At Deal Hub.Io @ DealHub

About Eliran Mastor

Eliran Mastor is a Test Automation Engineer at DealHub.io, where he has worked since 2021. He holds a Bachelor of Science in Computer Science from The Academic College of Tel-Aviv, Yaffo, and has experience in implementing automated workflows and integrating CRM systems.

Work at DealHub

Eliran Mastor serves as a Test Automation Engineer at DealHub.io, a position he has held since 2021. In this role, he has been instrumental in implementing automated approval workflows within DealHub's Revenue Amplification Platform. His contributions also include enhancing the functionality of DealHub's zero-code platform, which centralizes buyer communications and streamlines sales processes. Additionally, he has played a significant role in integrating DealHub's platform with major CRM systems, including Microsoft Dynamics, Salesforce, and Freshworks.

Education and Expertise

Eliran Mastor studied at The Academic College of Tel-Aviv, Yaffo, where he earned a Bachelor of Science (BS) degree in Computer Science. His studies spanned from 2017 to 2020, providing him with a solid foundation in software development and testing methodologies. This educational background supports his current role in test automation and platform development.

Background

Before joining DealHub.io, Eliran Mastor served in the Israel Defence Forces (IDF) as a Series Commander from 2012 to 2015. This experience contributed to his leadership skills and technical expertise, which he applies in his current role in the tech industry. His military background has likely influenced his approach to teamwork and project management.

Achievements

Eliran Mastor has made significant contributions to DealHub.io, particularly in the areas of automation and platform integration. His work on automated approval workflows and the development of a zero-code platform has enhanced the company's offerings. Furthermore, his involvement in integrating the platform with leading CRM systems has improved operational efficiency for users.

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