About

Aravamudhan A is a highly skilled Senior Software Engineer with 8 years of experience in building solutions using Java, JavaScript, NodeJS, and Spring boot. He specializes in building services and back-end systems in NodeJS and Java. Currently, Aravamudhan works at Walmart Labs as a Software Engineer, where he is responsible for building services that run on distributed systems at scale. Aravamudhan has worked with several companies in the past, including Crayon Data and Lister Technologies, where he has built multiple products from scratch. He has designed and built the back-end for the core product of Crayon Data, https://maya.ai, and created APIs and back-end services using Node.js and Java. He has also used GraphQL to quickly bootstrap and build APIs, built data ingestion pipelines using Spring-boot, and set up batch jobs using Spring batch and node-cron. Aravamudhan has written spark queries that run on data pipelines over billions of records and set up deployment pipelines and wrote deployment scripts on Jenkins for continuous integrations and continuous delivery. He has also written scripts to dockerize applications and deploy them in different environments such as QA, staging, and production. Aravamudhan has worked on AWS services such as EC2, S3, Athena, Elasticsearch, RDS, and ECR. Additionally, he has done proof-of-technology apps and incorporated the results into products. Aravamudhan has also designed the architecture of various products and developed individual components. He has mentored junior engineers by offering constructive feedback through code reviews, design reviews, one-on-ones, and enabled the engineers to take ownership of their tasks. Aravamudhan has a degree in Information Technology from Anna University. He has a strong technical background in Software Engineering, Java, Spring, Backend, Javascript, AWS, NodeJS, Spring Boot, AI, Spark, Amazon Athena, QA, Elastic Search, Jenkins, and Integration. With his relevant experience of 10.78 years, Aravamudhan is an expert in building scalable and robust systems.