About me

I am Akshaya Sunkari, a Cloud and DevOps Engineer with 2+ years of experience in deploying, automating, and maintaining secure and scalable cloud infrastructure. I specialize in Azure-based solutions and have hands-on experience with Infrastructure as Code using Terraform and ARM templates, automation with PowerShell and Python, and container orchestration using Docker and Kubernetes. My work has involved building and maintaining CI/CD pipelines with Azure DevOps and GitHub Actions, and supporting application workflows for. NET-based services. I focus on designing resilient systems that improve deployment efficiency and operational stability.

In addition to my cloud and infrastructure experience, I have a strong interest in problem-solving, backed by my experience in software development. I enjoy working on complex technical challenges and continuously seek opportunities to develop solutions that drive performance and scalability.

My skills

  • Cloud Computing
    80%
  • DevOps
    80%
  • Full-Stack Development
    70%
  • Microservices
    50%
  • Machine Learning
    65%

Resume

Education

  1. Arizona State University

    Masters in Computer Science 2022 - 2023

    Activities and societies: Teaching Assistant for CSE 575: Statistical Machine Learning course.
    Relevant Coursework: Foundations of Algorithms, Distributed Database Systems, Software Requirements and Specifications, Software Verification, Validation and Testing, Software Security, Information Assurance and Security, Statistical Machine Learning, Data Mining

  2. Amrita Vishwa Vidyapeetham

    Bachelors in Computer Science 2017 - 2021

    Activities and societies: Member of amFOSS(FOSS@Amrita) club
    Relevant Coursework: Object Oriented Programming, Data Structures, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Computer Architecture, Data Science, Deep Learning, Big Data

Experience

  1. Cloud Software Engineer

    Cloud 9 Infosystems June 2024 - Present

    - Designed and deployed secure, highly available cloud infrastructure on Azure using Virtual Machines, Azure SQL Database (PaaS), Load Balancer, Blob Storage, Azure Firewall, and Virtual Network, supporting 99.99% system uptime
    - Implemented Infrastructure as Code (IaC) with Terraform and ARM templates, streamlining environment builds and minimizing configuration errors
    - Built scalable CI/CD pipelines in Azure DevOps and GitHub Actions using YAML workflows, enabling automated builds, testing, and blue-green deployments
    - Automated infrastructure provisioning and configuration using PowerShell scripts
    - Designed and implemented a comprehensive Disaster Recovery (DR) strategy, including automated backups, cross-region failover capabilities, and regular DR testing, achieving a 2-hour Recovery Time Objective (RTO) and 15-minute Recovery Point Objective (RPO) for business-critical systems
    - Containerized legacy applications with Docker and migrated workloads to Azure Kubernetes Service (AKS), optimizing resource utilization and cutting infrastructure costs by nearly 50%
    - Developed CI workflows for .NET-based services, ensuring reliable builds and deployment across multiple environments
    - Monitored system health and application performance through Azure Monitor, Application Insights, and Log Analytics, enabling faster incident detection and response
    - Developed Python automation scripts for scheduled backup verification, log analysis, and cloud resource optimization

  2. Software Engineer (Cloud and Data Focus)

    Tetra SystemsMarch 2024 - June 2024

    - Engineered a scalable distributed computing service using Apache Spark and Hadoop, managing 500 nodes to handle large-scale data workloads, and automated task management, significantly reducing manual effort.
    - Enhanced data processing pipelines with Apache Spark, extracting and transforming data from the Hadoop Distributed File System (HDFS), achieving a 35% improvement in data retrieval times through effective schema design.
    - Designed and maintained Java Spring-based microservices for complex data processing tasks, applying object-oriented design principles.

  3. Teaching Assistant

    Arizona State UniversityJanuary 2023 - October 2023

    As a Teaching Assistant at Arizona State University, I supported Professors YooJung Choi and Mohammed Reza in delivering the CSE 575: Statistical Machine Learning course. My responsibilities included conducting office hours, coordinating assignments, and providing valuable assistance to 150 students.

  4. Sytem Software Engineer

    Cerner CorporationMay 2021 - Decemeber 2021

    - Redesigned the Feature Tracking Application using Spring Boot and MySQL and containerized it with Docker for deployment on internal Kubernetes clusters hosted in an on-premise data center
    - Developed Python scripts to automate monitoring tasks and environment readiness checks, integrating outputs into internal Grafana dashboards powered by Prometheus
    - Improved CI/CD reliability by optimizing Jenkins pipelines using Groovy and YAML
    - Built React dashboards with Redux to visualize uptime and API performance using custom metrics collected from internal logging services and Prometheus endpoints
    - Contributed to VM provisioning automation for dev/test environments and collaborated with infrastructure teams on virtual network peering and DNS routing for service exposure within the data center

  5. System Software Engineer Intern

    Cerner CorporationJanuary 2021 - May 2021

    - Developed Python scripts to automate domain builds and refreshes, resulting in a 50% reduction in execution times and enhancing overall system efficiency.
    - Enhanced Selenium-based test automation frameworks, leading to a 20% reduction in critical defects through comprehensive unit and integration testing.

Contact

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