Shiron Benyamini
About Shiron Benyamini
Shiron Benyamini is a Senior DevOps Engineer at AppsFlyer, specializing in big data frameworks and infrastructure management. He holds a Bachelor of Science in Mathematics and Computer Science from Netanya Academic College and has extensive experience in deploying and managing large-scale systems.
Work at AppsFlyer
Shiron Benyamini has been employed at AppsFlyer as a Senior DevOps Engineer since 2017. In this role, he focuses on managing large-scale systems that process hundreds of billions of events daily. He utilizes big data frameworks such as Hadoop and Spark, and employs big data databases like Druid, Redis, and Elasticsearch in his projects. His work involves deploying and managing Airflow on Kubernetes (EKS) and applying configuration management using Chef. He also integrates Terraform as the primary infrastructure as code tool with GitLab CI.
Education and Expertise
Shiron Benyamini holds a Bachelor of Science (BSc) in Mathematics and Computer Science from Netanya Academic College. He has also studied at the Musicians Institute for one year. His expertise includes extensive experience with big data frameworks, automation scripting in Python and Shell, and developing with Golang. He specializes in managing large-scale systems and employs service discovery and cluster management tools such as Zookeeper and Consul.
Background
Before joining AppsFlyer, Shiron worked at Amdocs as a Unix/Linux systems administrator from 2006 to 2013. He then transitioned to E&M Computing (EMET Computing), where he served as a Professional Services Senior Linux/AIX Consultant, DevOps, and Big Data specialist from 2013 to 2017. His diverse background in systems administration and consulting has equipped him with a strong foundation in DevOps practices and big data technologies.
Technical Skills
Shiron Benyamini possesses a range of technical skills relevant to his role as a Senior DevOps Engineer. He employs Terraform for infrastructure as code and integrates it with GitLab CI. He has experience in deploying and managing Airflow on Kubernetes (EKS) and utilizes configuration management tools like Chef. His proficiency in big data frameworks and databases, along with automation scripting in Python and Shell, supports his work in managing large-scale systems.