Nandini Doma
Cloud DevOps Engineer • n***************@gmail.com • 703****581 • linkedin.com/••••• • ./•••••
Professional Summary
Cloud DevOps Engineer with 4 years of experience designing, automating, and operating cloud infrastructure across Azure and AWS. Skilled in building reusable Terraform modules and CloudFormation templates to provision AKS/ARO clusters, Azure platform services, and AWS compute and storage while enforcing security guardrails via Key Vault and IAM. Experienced author of GitHub Actions and Azure DevOps pipelines to deliver repeatable CI/CD for infrastructure and applications. Strong background supporting production EC2/RDS environments, troubleshooting complex networking, creating runbooks and RCA documentation, and instrumenting observability with Azure Monitor and CloudWatch. Comfortable working across consulting and enterprise software domains, partnering with CloudOps/SRE teams to onboard workloads, reduce toil, and improve reliability through automation and standardized infrastructure patterns.
Technical Skills
Programming Language: Python,Bash,C#,SQL
Databases: Azure SQL Database
Cloud Platforms: Microsoft Azure,Amazon Web Services,EC2,S3,Azure Front Door,AKS,IAM,AWS,Azure,Azure Functions,Storage Accounts,VNet
Version Control & Development Tools: GitHub,Pull Requests,Branching Strategies
DevOps & Infrastructure: Terraform,GitHub Actions,Azure DevOps,OpenShift,Chef,Azure Key Vault,CloudFormation,ARM Templates,Jenkins,Release Management
API & Integrations: Postman,API Management
Messaging & Monitoring: Azure Service Bus,Azure Monitor,CloudWatch
Data Integration & ETL: Azure Data Factory
Skills: Reusable Infrastructure Patterns,Automated Validation,Quality Gates,Versioning,Release Tags,ARO,APIM,Key Vault,Git-based infrastructure workflows,peer reviews,environment promotion
Networking & Infrastructure: DNS
Work Experience
NUTANIX
Cloud Engineer
2024 – 2026
Worked on cloud infrastructure and operations at Nutanix, an enterprise hybrid cloud software company; supported AWS-based production and non-production environments, automation, and incident response.
Tech Stack: AWS, EC2, VPC, S3, Amazon RDS, ELB, CloudFormation, Amazon CloudWatch, IAM, Chef, Bash
- Managed multiple AWS accounts and VPC environments, implementing account-level controls and automated provisioning with CloudFormation.
- Automated infrastructure provisioning using CloudFormation templates and parameterized stacks across development, test, and production.
- Built and hardened Amazon Machine Images and Linux server configurations using Chef and Bash scripts to standardize OS-level deployments.
- Monitored EC2 metrics and logs using Amazon CloudWatch to diagnose incidents and restore services during on-call rotations.
- Backed Amazon RDS instances and S3 operations, resolving performance and backup issues through configuration tuning.
- Troubleshot VPC networking and ELB configurations to restore production connectivity and application availability.
- Implemented IAM policies and S3 access controls to enforce least-privilege and secure customer data.
- Created runbooks, RCA documents, and knowledge articles to improve incident response and operational consistency.
ACCENTURE
Hyderabad, India
Cloud DevOps Engineer
2022 – 2024
Delivered cloud transformation and reusable infrastructure patterns at Accenture, a global consulting and technology services firm; designed Azure and hybrid solutions and CI/CD pipelines for enterprise application onboarding.
Tech Stack: Azure, Terraform, AKS, Azure Key Vault, GitHub Actions, Azure DevOps, Azure Front Door, Azure Functions, Azure Service Bus, Azure Monitor
- Developed reusable Terraform modules to provision AKS clusters and associated networking.
- Composed Terraform modules to deploy Azure Red Hat OpenShift clusters and configure storage accounts.
- Implemented Terraform patterns to provision API Management and Azure Key Vault for secure service integration.
- Documented reusable Terraform modules with inputs, outputs, usage examples, versioning guidance, and deployment standards to support consistent adoption across application teams.
- Built GitHub Actions and Azure DevOps pipelines for Terraform plan/apply and deployment approvals.
- Configured Azure Front Door to enable global traffic routing and SSL offload for enterprise applications.
- Automated serverless integrations using Azure Functions and Azure Service Bus to process events and transform data.
- Instrumented observability using Azure Monitor to collect metrics and alerts for production workloads.
Projects
AZURE DATA INTEGRATION & REPORTING DATA PLATFORM
- Built Azure Data Factory pipelines to load operational datasets into Azure SQL and created a centralized reporting layer for recurring analytics.
- Applied SQL transformations and Python validation checks to standardize fields, remove duplicates, and identify schema mismatches before reporting.
HOUSE PRICE PREDICTION USING MACHINE LEARNING
- Developed regression models using Linear Regression, Decision Trees, and Random Forest.
- Performed exploratory data analysis and feature engineering to identify factors influencing price trends.
- Improved model accuracy to approximately 90% through hyperparameter tuning and model comparison.
Education
University of Maryland, Baltimore County (UMBC)
Master of Science, Information Systems • Baltimore County, MD • Aug 2024 – May 2026
Coursework: Cloud Computing, Database Systems, Data Analytics, Machine Learning, Data Structures & Algorithms
Sridevi Women's Engineering College
Bachelor's Degree in Engineering • Hyderabad, India • 2020 – 2024
Certifications
AWS Solutions Architect – Associate (SAA-C03)
Azure Developer Associate (AZ-204)
AWS AI Foundation
Programming Essentials in Python – Python Institute — Python Institute
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