Sundar

Libraries/APIs

Other

Statistical Analysis, Machine Learning, Statistics, Physics, Modeling, Full-stack, Software Development, Data Visualization, Data Engineering, Visualization, AWS, ECS, Optimization, Computer Vision

Languages

Python, SQL, JavaScript

Paradigms

Data Science

Platforms

Amazon Web Services (AWS), Linux

Framework

Storage

MYSQL, MongoDB, Elastic Search, Amazon S3 (AWS S3), NoSQL, 

Industry Expertise

Travel & Leisure

Capgemini

2015 – 2021

‍Project 1

Client : CVC Health

Tools : EC2, Jenkins, Docker, CloudWatch

Period : 16-Nov-2015 –25-Oct-2021

‍

Roles and Responsibilities:

Create and maintain full automated CI/CD pipelines for Code deployment.

Manage and configure AWS services as per the business needs (ELB, Route53, S3, CloudWatch, IAM, VPC)

Experienced in creating complex IAM policies, Roles and user management for access within AWS.

Actively manage, improve, and monitor cloud infrastructure on AWS, EC2 including 

backups, patches and scaling.

Used Ansible for Configuration Management and having good knowledge of writing Playbooks.

Automated build and deployment using Jenkins to reduce human error and speed up production processes.

Managed GitHub repositories and permissions, including branching and tagging.

Containerizing applications with Docker. Responsible for managing the Docker private registry and having good knowledge of maintaining containers using Docker swarm.

Setup/Managing VPC, Subnets, make connection between different zones blocking suspicious ip /subnet via ACL.

Setup/Managing CDN on Amazon Cloud Front to improve site performance.

Creating/ Managing AMI/ Snapshots/ Volumes, Upgrade/ downgrade AWS resources (CPU, Memory, EBS).

Created volumes and attach volumes on to EC2 instances.

Utilized Cloud Watch to monitor resources such as EC2, CPU memory, EBS volumes to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system. 

Attaching or Detaching EBS volume to AWS EC2 instance.

‍

Technologies : Amazon Web Services (AWS), Docker, CloudWatch

‍

Capgemini

2015 – 2021

‍Project 2

Client : TD Bank

Tools : Apache, EC2, Amazon RDS, MYSQL

Period : 16-Nov-2015 –25-Oct-2021

‍

Roles and Responsibilities:

Linux/Windows/Ubuntu servers on Amazon EC2 & monitor thru SNS & Amazon Cloud Watch.

Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade AWS resources (CPU, Memory, EBS).  Setup/Manage Databases on Amazon RDS.

Used Ansible to do configuration and to automate deployments.

Worked on creating Kubernetes cluster from end to end.

Manage and configure AWS services as per the business needs (ELB, Route53, S3, Cloud Watch, IAM, VPC) in Global infrastructure.

Handling L1 and L2 level issues, involved in the client calls, done several deployments, resolving the tickets to ensure system availability as per multiple Service Level Agreements (SLA).

Worked on Pod Creation and managing Containers.

Implemented continuous delivery pipeline involving Jenkins, Ansible to complete the automation from commit to deployment

Assisted developers with establishing and applying appropriate branching, labelling convection's using GIT source control.

Implemented and supported CI process via Jenkins.

Administrated and Implemented CI tools Jenkins for automated builds and also integrating Unit tests and Code Quality Analysis Tools like SonarQube.

Hands on working experience on Web Server (Apache), Application Servers (Tomcat, JBOSS), DB Server (MySQL).

Documented the entire installation process for various tools and provided on-call support.

‍

Technologies : Amazon Web Services (AWS), Python, Jenkins, MySQL, SonarQube, Apache