Devops Engineer Cloud Security

Gurunath Rao Siddam

E-Mail: *****************@*****.***

Mobile No: +1-203-***-****

Cloud/ DevOps Engineer

Professional Summary:

As a DevOps Engineer, I specialize in cloud computing, infrastructure automation, and CI/CD pipeline optimization, ensuring efficient and reliable deployments across multi-cloud environments, including AWS, GCP, and Azure. I have extensive experience in designing, deploying, and managing Kubernetes clusters (AWS EKS, GKE, PCF Tanzu) to maintain high availability, scalability, and fault tolerance. Leveraging Infrastructure as Code (Terraform, Ansible, Helm) and CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps, Harness), I streamline infrastructure provisioning and application deployments. My expertise extends to cloud security, where I implement IAM policies, RBAC, and automated security audits to enforce compliance and protect cloud environments. I am proficient in monitoring and logging solutions (Prometheus, Grafana, ELK Stack, Stack driver) for real-time system performance tracking and troubleshooting. With hands-on experience in containerization using Docker and orchestrating Kubernetes workloads, I optimize resource utilization through Horizontal Pod Autoscaling (HPA) and Cluster Auto scaler. My background in cloud networking includes managing VPCs, Load Balancers, Cloud CDN, and Cloud Spanner to ensure secure and high-performance applications. Additionally, I have a strong foundation in ETL pipelines, automation scripting (Python, Bash, PowerShell), and cloud resource optimization, integrating SQL, Snowflake, and Teradata to enhance system performance and cost efficiency. Passionate about cloud migration, DevOps automation, and infrastructure optimization, I thrive in dynamic environments where I can enhance deployment efficiency, reduce downtime, and strengthen security through cutting-edge DevOps tools and technologies.

Professional Experience:

Client: VERIZON

Role: Cloud/ DevOps Engineer June 2023 – Till date

Designed, deployed, and managed Kubernetes clusters to support Verizon’s cloud-native applications, ensuring high availability and fault tolerance.

Optimized containerized workloads with Kubernetes resource management techniques like Horizontal Pod Autoscaling (HPA) and Cluster Auto scaler for cost-effective scaling.

Automated infrastructure provisioning and deployments using Terraform, Ansible, Jenkins, and Harness across multi-cloud environments (AWS, Azure), enhancing deployment speed and reliability.

Configured and optimized CI/CD pipelines for Camunda applications and cloud workloads using Jenkins, GitHub Actions, and GitLab CI/CD, streamlining software release cycles.

Led AWS production workloads, ensuring scalability, security, and performance through EC2, EKS, Lambda, and S3.

Managed cloud-based relational databases (MySQL, PostgreSQL, RDBMS), ensuring data accessibility, integrity, and performance optimization.

Optimized networking and security using AWS VPC, Elastic Load Balancer (ELB), CloudFront, and RDS, alongside enforcing IAM policies, RBAC, and security audits for compliance.

Implemented real-time monitoring solutions using Prometheus, Grafana, ELK Stack, and AWS CloudWatch, improving system observability and troubleshooting efficiency.

Developed and maintained Infrastructure as Code (IaC) using Terraform, Ansible, and Kubernetes to automate Verizon’s AWS cloud infrastructure provisioning.

Automated cloud security measures by enforcing IAM policies, RBAC (Role-Based Access Control), and security audits, ensuring compliance and access control.

Developed Python and Bash scripts for automation tasks, log analysis, and system monitoring, improving operational efficiency.

Automated CI/CD pipelines with Jenkins, GitHub Actions, and Argo CD, streamlining software deployments, implementing DevSecOps best practices, and ensuring zero-downtime releases.

Enhanced cloud security by enforcing IAM policies, RBAC, AWS WAF, and automated security audits, achieving compliance with industry standards while optimizing networking and data security.

Assisted in cloud migration projects, troubleshooting infrastructure issues, optimizing cost efficiency, and implementing DevOps best practices for Verizon’s cloud-native transformation.

Client: PayPal

Role: Software Engineer January 2020 – July 2022

Managed a diverse Linux server infrastructure, ensuring high availability and reliability for system operations and data processing workloads.

Performed system installation, configuration, and maintenance for various Linux distributions, including CentOS, Ubuntu, and Red Hat Enterprise Linux, optimizing environments for data pipelines.

Designed, built, and maintained scalable data pipelines and ETL workflows to collect, process, and transform structured and unstructured data from multiple sources.

Developed and optimized batch and real-time data ingestion processes using Apache Kafka, Apache Spark, and Apache Flink.

Created automated data pipelines using Apache Airflow, AWS Glue, and Talend to streamline data processing and orchestration.

Engineered efficient and optimized data warehouse solutions using Snowflake, Google Big Query, and Amazon Redshift.

Developed and maintained data lake architectures on AWS S3, Azure Data Lake, and Google Cloud Storage to support analytics and machine learning workloads.

Designed and implemented data modeling strategies, normalizing and denormalizing data structures to enhance query performance and data accessibility.

Managed and optimized large-scale databases, including PostgreSQL, MySQL, MongoDB, and Cassandra, ensuring high performance and reliability.

Implemented data partitioning, indexing, and query optimization techniques to improve processing efficiency for analytical workloads.

Implemented real-time monitoring and alerting data pipelines using Prometheus, Grafana, and Datadog to proactively detect and resolve failures.

Automated infrastructure deployment and scaling using Terraform, Ansible, and Kubernetes for containerized data processing applications.

Assisted in cloud migration projects, optimizing data infrastructure for performance, cost, and scalability on AWS, Azure, and GCP.

Conducted performance tuning and cost optimization strategies for cloud-based data warehouses, reducing operational expenses.

Documented data architecture, engineering best practices, and troubleshooting guides for efficient team collaboration.

EDUCATION

SACRED HEART UNIVERSITY, FAIRFIELD, CT (2023).

Master’s in Business Analytics

Courses: Python, Data Visualization, Machine Learning, Big Data Analytics, Applied Statistics, Database Management System, Cloud Computing, Artificial Intelligence.

CGPA: 3.45 on a scale of 4.00

OSMANIA UNIVERSITY, HYDERABAD, INDIA (2021).

Bachelor of Commerce in Honors

Courses: Accounting, DBMS, Statistics, Income Tax, Foreign Trade, Digital Marketing, HRM, Auditing, Investment Management.

TECHNICAL SKILLS:

CI/CD & Automation : Jenkins, GitHub Actions, GitLab CI/CD, Terraform, Ansible

Containerization & Orchestration: Docker, Kubernetes

Cloud Computing: AWS, GCP, Azure

Monitoring & Logging: Prometheus, Grafana, ELK Stack

Scripting & Programming: Python, Bash, PowerShell, R

Databases: MySQL, RDBMS

Version Control: Git, GitHub

Networking & Security: IAM, RBAC, Load Balancing, VPC

Operating Systems: Linux, Unix, Windows

Visualization: Tableau, PowerBI

PROJECTS:

Applied Analytics Practicum

Associated with Sacred Heart University.

Led a comprehensive analytics project focused on enhancing customer retention by developing predictive models to identify at-risk customers.

Conducted data cleaning, exploratory data analysis (EDA), and segmentation using machine learning algorithms to uncover key churn predictors.

Created actionable business strategies based on data-driven insights and developed interactive dashboards to effectively communicate findings to stakeholders, supporting informed decision-making and driving organizational growth.

Utilized tools such as Python, SQL, Tableau, and Power BI to analyze large datasets and deliver impactful business recommendations.

Certifications:

Contact this candidate