Girish Pandey
About Girish Pandey
Girish Pandey is a Senior Software Engineer at Thomson Reuters, specializing in scalable resource creation through Infrastructure as Code. He has extensive experience in software development and quality assurance, having worked at various companies including Smart Data Solutions and PureSoftware Ltd.
Work at Thomson Reuters
Girish Pandey has been employed at Thomson Reuters as a Senior Software Engineer since 2019. In this role, he is responsible for various engineering tasks, focusing on operational readiness and infrastructure management. His work includes creating scalable resources and handling deployment setups for ongoing projects. His expertise in cloud technologies and automation is integral to the team's success.
Previous Experience at Smart Data Solutions
Prior to his current position, Girish Pandey worked at Smart Data Solutions from 2015 to 2019. He held two roles during his tenure: as a Java Developer from 2015 to 2018 and as a Senior Developer / Technical Production Director from 2018 to 2019. In these positions, he contributed to software development and technical production management in Minneapolis, Minnesota.
Experience at Monotype and PureSoftware Ltd
Girish Pandey briefly worked at Monotype as a Software Quality Assurance Engineer for two months in 2015. Earlier, he was employed at PureSoftware Ltd as an Associate Software Engineer from 2014 to 2015 for five months. These roles provided him with foundational experience in software engineering and quality assurance.
Education and Expertise
Girish Pandey studied Electronics and Communications Engineering at Tribuvan University Institute of Engineering, where he earned his Engineer's Degree from 2010 to 2014. He also completed his Intermediate in Science at St. Xavier's College, Kathmandu, from 2008 to 2010. His educational background supports his specialization in Infrastructure as Code, particularly using AWS CloudFormation templates and AWS CDK.
Technical Skills and Contributions
Girish Pandey specializes in creating scalable resources through Infrastructure as Code. He has developed monitoring tools using AWS Lambda for Java applications and is involved in designing automated deployment pipelines utilizing AWS services such as AWS CodePipeline, AWS CodeCommit, and AWS CodeDeploy. Additionally, he participates in incident postmortems to improve production processes.