Cloud Engineer with Azure/AWS Automation and Cost Savings

SUMMARY

Siva Sai Palla

Cloud Engineer

+1-551-***-**** • *******.*@**********.*** • LinkedIn • Texas (Open to Relocate) Cloud Engineer with 5 years of experience designing, automating, and optimizing cloud infrastructure across Azure and AWS. Skilled in building scalable architectures using Terraform, ARM/Bicep, Kubernetes (AKS/EKS), and Python automation. Achieved $180K in annual cloud cost savings by optimizing workloads and automating resource scheduling, eliminated 120+ recurring cloud incidents per quarter through enhanced monitoring, and automated 400+ monthly operational tasks, reducing manual effort and improving deployment efficiency. Experienced in serverless deployments, high-availability architectures, database performance tuning, and implementing secure, enterprise-grade cloud environments with Azure Monitor, Application Insights, CloudWatch, and Log Analytics. SKILLS

Methodologies: SDLC, Agile (Scrum), Test-Driven Development (TDD) Cloud Platforms & Services: Microsoft Azure (AKS, Azure Functions, Virtual Networks, Key Vault, SQL Database, Cosmos DB, Data Lake, Data Factory, Azure DevOps Pipelines), AWS (EC2, S3, Lambda, EKS, RDS, API Gateway, Route 53, CloudFormation) Infrastructure as Code (IaC): Terraform, ARM Templates, CloudFormation CI/CD & Automation: Azure DevOps, GitHub Actions, Jenkins, GitLab CI, Ansible, Python, Bash Containers & Orchestration: Docker, Kubernetes (AKS, EKS) Monitoring & Observability: Azure Monitor, Application Insights, Azure Log Analytics, AWS CloudWatch, CloudTrail, Prometheus, Grafana, ELK Security & Compliance: IAM, Azure Active Directory (AAD), Network Security Groups (NSG), Key Vault, CIS Benchmarks, Backup & Disaster Recovery Strategies

Version Control & Databases: Git, GitHub, Bitbucket, Azure SQL, Cosmos DB, PostgreSQL, MySQL Certificate: Microsoft Certified: Azure Fundamentals WORK EXPERIENCE

CVS Health Cloud Engineer Jun 2024 – Present Texas

• Showcased proficiency in architecting secure and scalable Azure network infrastructures by leveraging VNets, Subnets, NSGs, and Bastion across 3 production and 2 staging environments, ensuring stable and reliable enterprise cloud operations.

• Increased provisioning efficiency by automating 35+ Azure resources through robust IaC frameworks such as Terraform and ARM/Bicep, ensuring consistent, repeatable deployments.

• Enhanced multi-cloud scalability by deploying 20+ AWS components using custom Python automation scripts for EC2, S3, IAM, and security groups, enabling smoother operational workflows.

• Reduced operational overhead for 11 AKS clusters by performing advanced performance tuning, configuration optimization, and workload refinement across distributed cloud environments.

• Boosted database performance across 10+ Azure SQL and Cosmos DB instances by implementing indexing, partitioning, and query optimization for faster, reliable data access.

• Improved cloud security posture for regulated workloads by enforcing strong RBAC models, encryption standards, and automated compliance checks using Azure-native security tools.

• Achieved annual cloud cost savings of $28,000 by implementing storage tiering, rightsizing compute resources, and optimizing VM scaling schedules across multiple environments.

• Accelerated documentation and configuration workflows by 35% by developing a Generative AI–powered prompt-engineering utility using Azure OpenAI to produce smarter cloud templates MetLife Cloud Engineer Nov 2023 – May 2024 New Jersey

• Orchestrated Docker containers using Azure Kubernetes Service (AKS), creating resilient and scalable containerized applications managed by Kubernetes in the Azure cloud, ensuring high availability and ease of scaling.

• Established Python-based solutions for Azure DevOps pipeline orchestration, including integration with version control systems like Git and automated testing frameworks, to streamline the software development lifecycle (SDLC) on Azure.

• Utilized Azure Key Vault for secure storage and management of sensitive information such as passwords, certificates, and API keys.

• Integrated Python scripts with Azure Log Analytics and Application Insights to analyze logs, metrics, and telemetry data for troubleshooting and performance optimization.

• Configured Azure Data Lake Storage (ADLS) and Azure Data Factory for big data processing and analytics, enabling scalable and efficient data ingestion, transformation, and analysis. Zensar Technologies Cloud Engineer Jan 2020 – Sep 2022 India

• Demonstrated proficiency in utilizing a wide range of AWS services, including but not limited to EC2, S3, RDS, Lambda, IAM, VPC, Route 53, CloudFormation, and CloudWatch, through practical application and project work.

• Developed Ansible Playbooks to automate pipelines, deploy microservices, provision load balancers, and scale instances.

• Proficient in Linux system administration, adept at managing and troubleshooting Linux systems and services, including package management, system configuration, and performance tuning.

• Implemented monitoring and logging solutions on AWS using CloudWatch, CloudTrail, and AWS Config, to ensure the operational health, security, and compliance of cloud infrastructure and applications.

• Developed Python scripts to automate backups, snapshots, and disaster recovery procedures for AWS resources, ensuring data resilience and business continuity in the event of system failures or outages.

• Applied DevOps automation solutions using AWS services like AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to automate software delivery pipelines and streamline deployment processes.

• Optimized cloud resource utilization and reduced operational costs by monitoring usage patterns, rightsizing EC2 instances, managing S3 storage tiers, and implementing automated shutdown schedules, improving cost efficiency and performance. EDUCATION

Master of Science in Computer and Information Sciences Pace University, New York, NY Sep 2022 - May 2024

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