About
Highly accomplished Strategic DevOps Engineer with 10 years of IT experience, including 7+ years specializing in automation, CI/CD, and cloud-native solutions that significantly improved platform stability and saved over $1M. Proven expert in Kubernetes, AWS, Ansible, and Python/Shell scripting, consistently reducing manual effort by 50% and streamlining infrastructure operations. Leveraging an MS in Big Data Systems with AI/ML coursework, I am now applying MLOps skills to build innovative solutions like an OpenAI-powered Kubernetes automation assistant for advanced infrastructure automation.
Work
Hyderabad, TG, India
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Summary
Led DevOps initiatives for Amazon EKS and CI/CD pipelines, optimizing infrastructure, reducing deployment times, and achieving significant cost savings.
Highlights
Managed and maintained Amazon EKS clusters, configuring RBAC/IAM roles, and optimizing DNS for ingress routing, ensuring automated and compliant node updates via Nebula.
Engineered an automated deployment pipeline for the Rating & Billing Manager utilizing Python and CI/CD tools, successfully reducing deployment time from hours to 5-10 minutes.
Designed and implemented robust CI/CD pipelines with GitLab, Ansible, Python, and YAML, migrating over 100 Java/Python batch jobs from uDeploy to open-source tooling, resulting in annual savings exceeding $1M.
Automated the fault-tolerant transfer of over 10,000 files across environments using Python/Shell scripts, reducing processing time by 70% and improving system uptime by 40%.
Developed shell and Python-based health check scripts with integrated email alerting, significantly improving incident response times and accelerating detection and recovery of infrastructure issues.
Hyderabad, TG, India
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Summary
Provided 24x7 production support and developed automation solutions for a retail platform, enhancing system stability and operational efficiency.
Highlights
Provided 24x7 production support for a high-volume retail platform, enhancing system stability and ensuring high customer satisfaction.
Automated audit report generation using Unix Shell scripting and CRON, significantly reducing manual workload and ensuring timely mainframe data delivery.
Collaborated with cross-functional clients to deliver timely functional insights, improving support quality and building strong stakeholder trust.
Resolved recurring production issues through in-depth root cause analysis, significantly reducing incident frequency and improving system reliability.
Participated in SLA optimization initiatives, contributing to enhanced service performance and a reduction in escalations.
Education
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Master of Computer Science
Big Data Systems
Grade: 4.0/4.0
Courses
NoSQL Project and Hotspot Analysis using Scala, Apache Spark and Hadoop
Extracting Time Series Properties of Glucose Levels in Artificial Pancreas
Machine Model Training to distinguish Meal and No-Meal data
Anomaly Detection with Negative Selection
Languages
English
Skills
Programming & Scripting
Python, Shell, Groovy, SQL, HTML, YAML.
DevOps & Cloud
AWS (EKS, EC2, RDS), Kubernetes, Ansible, Jenkins, Git, IBM uDeploy.
Monitoring & QA
New Relic, Fortify, SonarQube, Artifactory.
Tools & Workflow
JIRA, Agile, CI/CD, Kafka, GitHub Actions.
Data & ML
PostgreSQL, Oracle, Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark.
Projects
Terraform-Based CI/CD Workflow with Python Validation
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Summary
Designed and implemented a mini CI/CD workflow using Terraform to provision Kubernetes resources (namespace, deployment, service) on Minikube, with a Python script performing health checks and HTTP validation for the deployed Nginx service.