Avalor Security
Udi Kidron has a varied and extensive work experience. Udi is currently working at Avalor as the VP of R&D. Prior to this role, they held several positions at Datorama, a Salesforce Company, including VP of Engineering, Senior Director of Software Engineering, Director of Software Engineering, and Big Data Team Leader. Udi was responsible for overseeing platform engineering, leading architectural and development process changes, establishing strategic plans, and developing analytics capabilities.
Before joining Datorama, Udi worked at VMware as a Principal Member Of Technical Staff, where they led software engineering and developed data migration and management components. Udi also worked at Digital Fuel as a Lead Software Engineer, responsible for the reports module of the platform.
Prior to these roles, Udi worked at Precise Software Solutions, Inc as a Senior Software Engineer, where they designed and developed infrastructure for the company's products in application performance management. Udi also worked at Symantec as a Senior Software Engineer, developing server-side modules for database monitoring and managing showcase environments. Udi began their career at Amdocs as a Senior Software Engineer, working on an infrastructure for a billing product.
Overall, Udi Kidron has extensive experience in engineering and software development, with a focus on platform engineering, architecture, data management, and analytics.
Udi Kidron earned a Bachelor of Arts (BA) degree in Computer Science from Bar-Ilan University, completing the program from 1999 to 2002. In addition, Udi obtained a Certification of outstanding achievement from VMware, although the specific month and year are not provided.
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Avalor Security
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We’re on a mission to help security teams make faster, more accurate decisions by making sense of their data. We made it possible to overlay security data with business data so customers can align and communicate security priorities with cross-functional teams. To increase their confidence in security investments, stakeholders need to understand what you’re asking them to do and why. By encoding our team’s expertise in building data fabrics that integrate massive data pipelines using automated services and APIs, we built Avalor as an open data platform where you can bring data from anywhere – legacy systems, data lakes, data warehouses, SQL databases, applications, etc. – normalize it and analyze it.