Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Timeline
Generic

Madhuri Vanka

Toronto,ON

Summary

Aspiring DevOps Engineer with almost 2 years of hands-on experience in implementing CI/CD pipelines, containerization, and cloud technologies, currently pursuing a PGDM in DevOps for Cloud Computing. Seeking an internship opportunity to apply and further develop skills in a dynamic environment, contributing to the optimization and automation of development and operations processes.

Overview

1
1
year of professional experience

Work History

DevOps Engineer/AWS Cloud Administrator

Capgemini
10.2022 - 07.2023
  • Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins to support weekly releases and out-of-cycle releases based on business needs
  • Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
  • Performed integration of Code Quality Analysis techniques - Check style, Find bugs with CI tools like Bamboo
  • Used SVN and GIT as source code repository and involved in migrating from SVN to GIT
  • Build scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments
  • Managed Sona type Nexus repositories to download the artifacts (jar, war & ear) during the build
  • Used Puppet and Chef for Configuration Management tool
  • Experience in automation using Puppet and Chef
  • Responsible for installing Jenkins master and slave nodes
  • Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy
  • Configured Git with Jenkins and scheduled jobs using POLL SCM option
  • Created the build scripts using Maven for Java projects
  • Automating the build process by configuring Subversion for projects
  • Build tracking so that whenever defect is detected, developers will be able to track the source code
  • EC2: Experience launching and managing EC2 instances (including autoscaling and load balancing).
  • Lambda: Understanding of serverless architecture and functions.
  • IAM: Deep understanding of Identity and Access Management, creating policies, and managing roles/users.
  • Used Shell scripts to automate the deployment process
  • Worked on PL/SQL database objects tables, views, sequences, triggers, Procedures, Functions, Triggers, Cursors, Exceptions Partitions, analytical functions, views, Indexes, and global temporary tables etc
  • Developed, maintained, and distributed release notes for each scheduled release
  • Kept track of all releases and requests of the developers through infrastructure management tool
  • Experience in Deployment Automation & Containerization (Docker, Kubernetes)

Intern – DevOps Engineer

Capgemini
02.2022 - 08.2022
  • Worked on Docker open-source project by automating the deployment of applications inside software containers
  • Responsible for OpenStack project core infrastructure including code review, continuous integration systems, and deployment tools
  • Automated the build and release management process including monitoring changes between releases
  • Setup Elastic Load Balancer for distributing traffic among multiple WebLogic servers
  • LINUX/UNIX Administration maintaining around 1000 Production environments including RHEL 4/5 servers
  • Installed/Configured/Managed/Administrated all Linux/Unix servers includes the planning, design, and selection of relevant hardware to support the installation/upgrades of Red Hat operating systems
  • Conducted common, senior-level systems administration functions for different Red Hat Linux versions
  • Responsible for configuring networking concepts like NIS, NFS, SSH, SFTP, SNMP, DHCP, SAMBA, LDAP, DNS, troubleshooting network issues like TCP/IP, supporting users in solving their issues
  • Worked on YUM configuration to patch the servers to the most recent OS/Kernel version
  • Responsible for maintenance of development tools and utilities and to maintain Perl, Shell automation scripts
  • Collaborated with developers to load software onto Linux Enterprise servers and debugging Scripts.

Education

Post Graduate Diploma - DevOps For Cloud Computing

PGDM, Lambton College
05.2025

Skills

  • DevOps Tools – Docker, Kubernetes, Jenkins, Terraform, Chef, Ansible, Puppet
  • Cloud Technologies – AWS(Cloud Formation, IAM, Server Migration, S3 Buckets, Lambda Functions, EC2 Container Service, RDS, AWS Glue, Sage Maker ), Terraform, Microsoft Azure ( Azure Data Factory, Azure DevOps, Data lake storage, Azure Kubernetes Services(AKS)), GCP(Kubernetes Engine, Cloud Functions, IAM, Container registry)
  • Version Control – Git, Bitbucket, CVS, SVN
  • Web Servers – Nginx, Tomcat
  • Languages/Scripting – Python, C programming, Bash, PowerShell, Shell, SQL
  • Databases – Oracle, MS SQL Server
  • Other Tools – GitLab, SonarQube, Vagrant, Grafana, ITIL, ITSM
  • Operating Systems – Windows, LINUX, Ubuntu
  • Linux Operating System

Accomplishments

  • PROJECTS: Developed an ML Model for Email Classification Using AWS SageMaker: Created a machine learning model to automatically classify emails as spam or authentic, leveraging AWS SageMaker for model training.
  • Deployed Python REST API Server for Word to PDF Conversion on Kubernetes with Autoscaling: Implemented and deployed a Python-based REST API server that converts Word documents to PDF, utilizing Kubernetes for container orchestration and autoscaling to handle variable loads and ensure high availability
  • Deployed a python-based web application(e-Commerce) by Implementing DevOps CI/CD Pipeline Using Azure DevOps Framework: Designed and executed a continuous integration/continuous deployment (CI/CD) pipeline with Azure DevOps, automating the deployment process on Azure Kubernetes Service (AKS) to streamline development workflows and enhance operational efficiency
  • Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
  • Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
  • Developed an Automatic Appliance Control System with Visitor Counter Using Arduino: Engineered a system to control household appliances and count visitors using Arduino, an ultrasonic sensor, and an IR sensor, demonstrating advanced skills in embedded systems and sensor integration for smart automation solutions.
  • AWS Certified Developer - Associate (DVA-C02) Cert Prep– LinkedIn Learning
  • Prepare for the Azure DevOps Engineer Expert (AZ-400) Certification by Microsoft Press– LinkedIn Learning
  • Developing CI/CD Solutions with Azure DevOps– LinkedIn Learning
  • Kubernetes Essential Training: Application Development – LinkedIn Learning
  • Certified Entry-Level Python Programmer (PCEP-30-02) Cert Prep – LinkedIn Learning
  • Sergeant – National Cadet Corps (NCC) - Led and trained cadets in various drills and activities, improving leadership and communication skills - Developed strong teamwork and collaborative problem-solving abilities Volunteered in Technical Fest at College (SRIVISION) - Coordinated with different departments (e.g., technical support, marketing) to ensure all aspects of the event were aligned and executed as planned

Languages

English
Full Professional
Telugu
Native or Bilingual
Hindi
Full Professional

Timeline

DevOps Engineer/AWS Cloud Administrator

Capgemini
10.2022 - 07.2023

Intern – DevOps Engineer

Capgemini
02.2022 - 08.2022

Post Graduate Diploma - DevOps For Cloud Computing

PGDM, Lambton College

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Madhuri Vanka