Paritosh Yadav
About Paritosh Yadav
Paritosh Yadav is an SDE III at Expedia Group with over 10 years of experience in DevOps and Big Data implementations, specializing in Kubernetes and Hadoop technologies.
Currently Working at Expedia Group
Paritosh Yadav is currently employed as a Software Development Engineer III (SDE III) at Expedia Group in Ottawa, Ontario, Canada. His tenure at Expedia Group commenced in 2021. At Expedia, he is responsible for overseeing advanced software development projects, utilizing his expertise in DevOps, Big Data implementations, and Kubernetes technologies, including Rancher and scalable microservices.
Previous Experience at Fiserv
Before joining Expedia Group, Paritosh Yadav worked as a Software Analyst at Fiserv in Gurgaon, India from 2019 to 2021. During this period, he developed and maintained software solutions, leveraging his skills in Hadoop technologies, high availability, and security implementations.
Background in Engineering at Cognizant and Mobileum
Paritosh spent three years (2016-2019) at Cognizant as an Associate Engineer in Wolfsburg Area, Germany. Following this, he worked at Mobileum as a Senior Software Engineer for one year (2015-2016) in Gurgaon, India. His role in these positions involved the deployment and management of distributed messaging systems using Kafka and Zookeeper, and real-time processing frameworks like Spark Streaming, Storm, and Flink.
Education: Bachelor of Technology from YMCA University
Paritosh Yadav earned his Bachelor of Technology (B.Tech.) in Electronics and Instrumentation Control from YMCA University Of Science & Technology. He completed his degree from 2008 to 2012. This educational foundation enabled him to build a career in software engineering and DevOps.
Expertise in Kubernetes and Cloud Solutions
Paritosh is an experienced professional in Kubernetes implementations. He is a Certified Kubernetes Administrator (CKA), proficient in managing Kubernetes clusters using Rancher and RKE. He has implemented Kubernetes clusters in both cloud environments on AWS and on-premise setups. His expertise extends to deploying network policies, network plugins (CNI), and auto-scaling nodes and pods using tools like Heapster and Auto-Scaler.