Devathathan Sankarapandian

Richmond,KY

Summary

Adept System Engineer with a robust background at Tata Consultancy Services, where I spearheaded the development and maintenance of automation scripts using Ansible, significantly enhancing cloud infrastructure deployment efficiency. Proficient in Java, Python, and Ansible, my expertise lies in transforming complex challenges into streamlined processes, demonstrating exceptional problem-solving skills and a commitment to excellence.

Overview

years of professional experience

Work History

System Engineer

Tata consultancy services

Bangalore, India

03.2022 - 07.2024

Designed, developed, and maintained robust automation scripts utilizing Ansible to streamline the deployment and management of cloud infrastructure across diverse environments.
Automated, repetitive, and time-consuming tasks significantly reduce manual effort and operational overhead in cloud operations.
Enhanced the efficiency of cloud infrastructure provisioning by implementing reusable playbooks and role-based configurations.
Achieved a measurable improvement in deployment speed and reliability, contributing to overall project success, and operational excellence.

Education

Bachelor of Engineering - Electronics And Communication Engineering

Sree Sowdambika College of Engineering

Virudhunagar, India

08-2021

Master of Science - Computer Science

Eastern Kentucky University

Richmond, KY

Skills

Languages: Java, Python, SQL, HTML5, CSS3
Frameworks: Spring Boot

Tools: Ansible, Docker

Academic Projects

Image classification using Small Convolution Neural Network : It uses Artificial Intelligence which is able to detect what type of object is given to it. It also increases the simplicity in surveillance.
Fake News Detection System : By AI recognize and categorize news items as genuine or fraudulent using machine learning. Project aims to automatically identify news items that are false and misleading, It help peoples to know the false information easily.
Supermarket Sales Analysis : Developed and implemented Hadoop MapReduce scripts (Mapper, Reducer, Combiner) in Python to analyze large-scale sales data. Created visualizations to uncover trends across branches, product lines, and demographics. Automated data preprocessing and workflow management using Python and shell scripting. Demonstrated insights through actionable reports and graphs for stakeholders.

Timeline