Arunvel Sriram
DevOps Consultant at Equal Experts
Chennai, Tamil Nadu, India
Summary
🤩
Rockstar🎓
Top SchoolArunvel Sriram is a DevOps consultant with 11 years of experience building cloud-native platforms, data pipelines, and backend services across Go, Python, Java, Ruby, and Node.js. He specializes in infrastructure automation (Terraform, Terragrunt, Ansible), Kubernetes orchestration (including Cilium CNI, Cluster Mesh, WireGuard encryption) and observability with Prometheus/AlertManager/Grafana, and has led delivery of platforms that automate deployment for 100+ microservices. At Thoughtworks and now Equal Experts he combined hands-on engineering with platform design—leading offer-repository and personalized recommendation systems as well as trading-platform cross-cutting features. An active open-source contributor, he’s been featured by Thoughtworks and maintains tools on GitHub, demonstrating a pragmatic polyglot approach that favors adaptability and reusable automation at scale.
11 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Sri Sivasubramaniya Nadar College Of Engineering12th Class Computer Science, 12th Class Computer Science at Good Shepherd Matriculation Higher Secondary School
Tamil, English, Hindi
Stackoverflow
1,086reputation
71kreached
25answers
10questions
airflow
top-5%
Github Skills (17)
javascript10
raid9
airflow9
rad9
d3js9
open-source8
html7
pip6
airflow-scheduler6
google-cloud-composer6
css6
python6
scheduler6
kubernetes6
google-cloud-platform6
Programming languages (22)
Github contributions (5)
thoughtworks/build-your-own-radar
Nov 2016 - Oct 2017
A library that generates an interactive radar, inspired by https://thoughtworks.com/radar/.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:17 commits, 6 PRs, 13 pushes in 11 months
Contributions summary:Arunvel primarily contributed to the front-end and supporting functionalities of the radar visualization library. They updated links and legal statements in the UI, refactored and improved input validation, and adjusted the display of the radar's footer. Additionally, they made architectural changes to handle sheet URL variations and added helper functions. These contributions enhanced the user experience and improved the overall robustness of the application.
thoughtworksradar
thecasualcoder/kube-fzf
Mar 2018 - Oct 2021
Shell commands using kubectl and fzf for command-line fuzzy searching of Kubernetes Pods.
Contributions:3 reviews, 115 commits, 14 PRs in 3 years 7 months
fuzzy-searchfuzzykubectlbashkubernetes
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