About

Aditya Patil is a highly motivated DevOps Engineer with over 5 years of experience in automation, implementation, administration, and troubleshooting. He is a strong engineering professional with a BSc in Computer Science from the University of Mumbai. Aditya is skilled in operating systems such as Redhat Linux, Centos, and Ubuntu, as well as remote administration tools like SSH, Telnet, and RDP. He is also proficient in cloud technologies such as OpenStack and AWS, virtualization tools like Xen, Docker, and LVS, and monitoring tools like Nagios, ELK Stack, and Syslog Server with Loganalyzer GUI. Aditya has experience working with various applications such as Apache, Ngnix, Tomcat, MySQL, MongoDB, Redis, PostgreSQL, and API (NodeJs), and is skilled in scripting with Shell Scripting. He has expertise in version control tools like Git, configuration management tools like Ansible, and CI/CD tools like Jenkins. Aditya has also worked with various AWS services such as EC2, Route53, S3, IAM, VPC, ElasticSearch (with Kibana), RDS, CloudWatch, and Lambda. He has experience working with Hadoop tools like Zookeeper, Kafka, Cassandra, Spark, Hadoop, and Ambari UI, as well as containers and management tools like Docker, Docker Swarm, Kubernetes, and Openshift. Currently, Aditya is working as a Senior DevOps Engineer at his current company, where he is responsible for designing and implementing various development, testing, and automation tools, as well as IT infrastructure. He has experience in planning team structure and activities, defining and setting development, test, release, update, and support processes for DevOps operation, and providing Level 2 technical support. Aditya has also worked as a Software Engineer DevOps at Mobiliya and as a DevOps Engineer at Pepperfry, where he was responsible for managing cloud services, resolving issues, handling APIs, and automating deployments with bash scripts. Aditya's education background includes a BSc in Computer Science from the University of Mumbai. He is proficient in various technologies such as DevOps, AWS, Docker, CI/CD, Kubernetes, Hadoop, MySQL, Jenkins, Kafka, Cassandra, MongoDB, Ansible, NodeJS, Spark, Redis, Elastic Search, Big Data, HDFS, Integration, Software Engineer, Apache Hive, QA, Azure,