Cloud Infrastructure Devops Engineer

VANDANA PATHA

+1-940-***-**** ***************@*****.*** Irving, Texas www.linkedin.com/in/vandana-patha-b2aa80204

EDUCATION:

Master of Science in Computer Science and Information Sciences 12/2022-12/2024

University of North Texas, Texas GPA: 3.363

Bachelor of Engineering in Computer Science 08/2018-09/2022

Jawaharlal Nehru Technological University, Hyderabad, India.

GPA: 6.5

SUMMARY:

DevOps Engineer with 3+ years of experience in deploying and managing secure, scalable cloud infrastructure on Google Cloud Platform (GCP). Expertise in Terraform, Docker, Kubernetes, and CI/CD tooling (Jenkins, GitLab). Proven ability to optimize cloud infrastructure and improve cost efficiency by 20% while maintaining top-tier security and reliable deployment workflows.

PROFESSIONAL EXPERIENCE:

Cloud Infrastructure Engineer

POPR LLC, Denton, TX Feb 2025 – Present

●Built and managed CI/CD pipelines using GitLab and Jenkins, improving deployment frequency by 30% and reducing downtime by 20%

●Implemented Infrastructure as Code (IaC) with Terraform to automate resource provisioning on AWS and GCP, improving consistency and reducing errors

●Developed Python scripts for automated deployment monitoring, reducing manual checks by 2 hours per week

●Deployed Kubernetes clusters and implemented Helm charts, improving the consistency and scalability of applications

●Maintained IAM roles and cloud security policies, reducing security vulnerabilities and improving compliance with best practices

DevOps Intern

TechNova Solutions, Austin TX Oct 2024 – Dec 2024

Automated deployment of microservices using Jenkins and Ansible.

Collaborated on Kubernetes configuration and container orchestration with AKS.

Participated in CI pipeline hardening by adding static code analysis and security scans.

Cloud Operations Intern

DataEdge Corp, San Jose, CA May 2024 – Aug 2024

●Developed Kubernetes operators to automate complex deployments and application management

●Managed immutable infrastructure deployment, enforcing consistency across staging and production environments using Terraform

●Designed and integrated Kafka message queues for handling real-time data streams in cloud-based applications

●Optimized cloud infrastructure cost by automating resource scaling and provisioning workflows with Terraform and Ansible

Site Reliability Engineer

Cloud Tech Systems, Hyderabad, India Jan 2021 – Dec 2022

●Built and managed CI/CD pipelines using GitLab and Jenkins, improving deployment frequency by 30% and reducing downtime by 20%

●Implemented Infrastructure as Code (IaC) with Terraform to automate resource provisioning on AWS and GCP, improving consistency and reducing errors

●Developed Python scripts for automated deployment monitoring, reducing manual checks by 2 hours per week

●Deployed Kubernetes clusters and implemented Helm charts, improving the consistency and scalability of applications

●Maintained IAM roles and cloud security policies, reducing security vulnerabilities and improving compliance with best practices

Junior DevOps Engineer

Path Creators, Hyderabad May 2020 – Aug 2020

●Wrote Ansible playbooks to manage configuration changes across Linux-based systems, ensuring consistency in production environments

●Assisted in Dockerizing applications and deploying them on Kubernetes clusters for improved scalability and fault tolerance

●Developed CI/CD pipeline templates for teams to quickly automate deployments and manage versioning

PROJECTS:

Enhancing Disease Detection with Patient Segmentation and ChatGPT Python, EDA, Streamlit Spring 2023

● Developed an integrated model combining ML algorithms for patient segmentation and ChatGPT's NLP techniques, improving diagnostic accuracy.

●Conducted EDA on EHR data, utilizing K-means clustering for effective patient segmentation.

●Implemented a user-friendly interface with Streamlit and integrated ChatGPT-4 Turbo API for real-time disease prediction.

Valuation of House Prices Using Predictive Techniques Python, Pandas, Scikit-learn Fall 2023

●Built multiple regression models to analyze housing data and predict property prices.

●Used Matplotlib and Seaborn for data visualization and trend exploration.

●Presented findings through interactive dashboards using Power BI.

Madrid Airbnb Data - Price Prediction Python, ML, Power BI Summer 2024

●Performed EDA and built dashboards to explore pricing trends across Madrid’s Airbnb listings.

●Developed a linear regression model that predicted prices with 90% accuracy.

●Used Excel to clean data and summarize descriptive statistics before building visual reports.

TECHNICAL SKILLS:

●Cloud Platforms: Google Cloud Platform (GCP), AWS

●CI/CD Tools: Jenkins, GitLab

●Containers & Orchestration: Docker, Kubernetes, GKE

●Infrastructure as Code (IaC): Terraform, HCL

●Security & IAM: GCP IAM, Role-based access control (RBAC)

●Automation & Scripting: Python, Bash

●Monitoring & Observability: Prometheus, Grafana

●Version Control: Git, GitLab, GitHub

CERTIFICATIONS:

Programming for Everybody (Getting Started with Python), Python Data Structures (University of Michigan), AI for Everyone (DeepLearning.AI), COURSERA.

Work Authorization: Authorized to work Full time for 36 months in the U.S. under F1- OPT (Optional Practical Training)

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