About

Prashant Jaiswal is a dynamic professional with over 9 years of extensive experience in Cloud Deployment Engineering. He possesses in-depth knowledge and experience in the administration of Kubernetes, AWS, Azure, GCP, and CKA. Prashant is adept at mapping client's requirements, custom designing solutions, troubleshooting complex information systems management, and setting up and maintaining LNMP and LAMP servers. He is also skilled in designing backup strategies and ensuring scheduled and unscheduled backups as per the backup plan. Currently working as a Technical Specialist at AT&T, Prashant has previously worked with Adobe and Webdunia in the roles of Cloud Deployment Engineer and DevOps Lead, respectively. He loves to automate code deployment processes using DevOps methodologies to achieve a frictionless deployment pipeline. Prashant believes that DevOps practices can revolutionize IT operations and lead to less downtime and faster recovery times. He has worked with various cloud platforms like AWS, Google Cloud Platform, and Azure, and has experience in operating systems like CentOS, Debian, RHEL, and Ubuntu. Prashant has a fair understanding of AWS, DevOps, and automation with puppet. He is skilled in implementing automated scale-up and scale-down for optimal user experience and recommending and implementing new tools for performance, security, and availability. He has worked with various software tools like Ansible, Jenkins, MySQL, Memcache, PostgreSQL, Redis, Mongo, Elasticsearch, Solr, HaProxy, Pound, Nginx, Logstash, Syslog, WatchDog, ELK, Exim, Postfix, Sendmail, SES, Nagios, Cacti, Monit, Xen, VMWare, Vagrant, Docker, Apache, and Nginx. Prashant has completed his High School education in Commerce from HD Memorial HS School. He has relevant experience of over 10.12 years and possesses a tech stack that includes AWS, DevOps, infra, Kubernetes, PHP, Puppet, Web, MySQL, Azure, GCP, Ansible, Jenkins, CI/CD, MemCache, Redis, NodeJS, Docker, SQL, MongoDB, Integration, Senior Software Engineer, test, MSSQL, Elastic Search, and Search.