Arun Ramachandran
About Arun Ramachandran
Arun Ramachandran is a Senior Software Engineer with extensive experience in developing and maintaining REST APIs and implementing data solutions using AWS technologies. He has worked at various companies, including Prototyze Services Pvt Ltd and athenahealth, and currently serves at Softcrylic since 2018.
Work at Softcrylic
Arun Ramachandran has been employed at Softcrylic as a Senior Software Engineer since 2018. In this role, he has focused on developing and maintaining REST APIs using Node.js. His work involves collecting data and integrating it with AWS Kinesis streams, showcasing his expertise in cloud-based solutions and data streaming technologies.
Previous Experience at Prototyze Services Pvt Ltd
Before joining Softcrylic, Arun worked at Prototyze Services Pvt Ltd as a Backend Developer from 2015 to 2016. During his one-year tenure in Goa, he contributed to backend development projects, utilizing his skills in Node.js and Python to enhance system functionalities.
Internship Experience at athenahealth
Arun gained initial professional experience as a Software Development Intern at athenahealth in 2013. His internship lasted for five months in the Chennai Area, India, where he was involved in software development tasks that laid the foundation for his career in technology.
Education and Expertise
Arun Ramachandran holds a Master of Science (MSc) degree in Theoretical Computer Science from PSG College of Technology, where he studied from 2010 to 2015. His academic background has equipped him with a strong foundation in computer science principles, which he applies in his professional roles.
Technical Skills and Achievements
Arun has demonstrated significant technical skills, particularly in cloud computing and automation. He implemented Node.js and Python modules in AWS Lambda and Glue, facilitating data streaming to AWS Redshift. Additionally, he reduced infrastructure provisioning time for a data-pipeline project from weeks to 20 minutes by utilizing AWS CloudFormation and automation techniques. He has also led a team in the training and implementation of Docker and Kubernetes technologies.