Pankaj Mandal

Dev Ops Engineer @ Wadhwani AI

About Pankaj Mandal

Pankaj Mandal is a DevOps Engineer with extensive experience in monitoring tools, microservices architecture, and cloud platforms. He has worked at MSCRIPTS SYSTEMS INDIA PRIVATE LIMITED, Cyware, and is currently employed at Wadhwani AI in Bengaluru, Karnataka, India.

Work at Wadhwani AI

Pankaj Mandal has been employed as a DevOps Engineer at Wadhwani AI since 2021. His role involves utilizing his extensive skills in cloud technologies and infrastructure management. He contributes to the organization's efforts in developing and maintaining scalable systems, ensuring efficient deployment processes, and enhancing overall system reliability.

Previous Experience in DevOps

Before joining Wadhwani AI, Pankaj Mandal worked as a DevOps Engineer at Cyware for five months in 2021. Prior to that, he spent two years at MSCRIPTS SYSTEMS INDIA PRIVATE LIMITED from 2019 to 2021. In these roles, he gained valuable experience in continuous integration and deployment, as well as cloud infrastructure management.

Technical Skills and Proficiencies

Pankaj Mandal is proficient in various monitoring tools, including Nagios, Prometheus, Grafana, and CloudWatch. He specializes in microservices architecture using Docker and Kubernetes. His expertise extends to Infrastructure as Code, utilizing Terraform and CloudFormation, and he is skilled in scripting with Python and Shell.

Cloud and Database Expertise

Pankaj has expertise in both Amazon Web Services (AWS) and Google Cloud Platform, focusing on multi-cloud deployment and migration. He is experienced in database languages, including NoSQL Amazon DynamoDB and Oracle SQL, and has a strong background in log analysis using GrayLog and the ELK stack.

Configuration Management and Linux Administration

Pankaj Mandal possesses strong skills in configuration management with Ansible and has Linux administration expertise, particularly with Ubuntu and Redhat. He is knowledgeable in web server technologies such as Tomcat, Apache, and Nginx, and is familiar with artifact management using jFrog Artifactory.

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