Cloud Engineer Aws

SHRAVYA POTU AWS Cloud Engineer

Texas *************@*****.*** (940) 843 – 1373 LinkedIn SUMMARY

• 5 years of experience designing, deploying, and managing AWS solutions for 100+ EC2 instances, using Terraform, Ansible, and CloudFormation to cut deployment time by 50% and ensure multi-region availability.

• Optimized performance for MySQL, PostgreSQL, MongoDB, DynamoDB, and AWS RDS, implementing query optimization and indexing to reduce latency by 40% and enhance efficiency for applications processing 500K+ transactions per second.

• Developed and deployed microservices-based applications using Java, Python, C, C++, and JavaScript, integrating RESTful APIs to enable seamless scalability across AWS Lambda, Kubernetes, and Docker, ensuring 99.99% uptime.

• Spearheaded CI/CD automation using Jenkins, Git, GitLab, Bitbucket, and JFrog, implementing zero-downtime deployments and reducing release cycles from 2 weeks to 3 days, ensuring faster time-to-market for enterprise applications.

• Configured and maintained AWS Redshift, Snowflake, and NoSQL databases, optimizing ETL processes for 1TB+ datasets, leveraging PowerBI and Tableau to provide real-time insights and reduce data processing time by 60%.

• Designed and implemented multi-layer security using AWS IAM, Security Groups, NACLs, and VPC Peering, ensuring 100% compliance, mitigating DDoS attacks, and strengthening security across Windows and Linux environments.

• Developed and optimized serverless applications using AWS Lambda, API Gateway, and DynamoDB, reducing operational costs by 40% and improving performance for event-driven workloads handling 1M+ requests daily.

• Managed and automated container orchestration using Kubernetes, Docker, and Helm, scaling 50+ microservices dynamically based on traffic spikes, improving application response times by 45%.

• Led AWS cost optimization initiatives, analyzing and optimizing EC2, S3, RDS, and Lambda usage, reducing cloud costs by 30% through rightsizing, auto-scaling, and implementing AWS Savings Plans and Reserved Instances.

• Developed Bash, PowerShell, and Unix Shell scripts to automate system administration, log analysis, and backup processes, reducing manual intervention by 70% and improving operational efficiency.

• Integrated PowerBI and Tableau with AWS Redshift and Snowflake, creating interactive dashboards for real-time business intelligence, reducing data retrieval time from minutes to seconds for 100K+ daily queries. TECHNICAL SKILLS

Cloud Platforms:

Languages:

Amazon Web Services (AWS) – EC2, S3, VPC, RDS, CloudFormation, CloudWatch, IAM, ECS, EKS, Route 53, ELB, Auto Scaling, Lambda, API Gateway, DynamoDB, SNS, SQS, AWS Security Hub, GCP, Azure

Python, C, C++, Java

Database MySQL, PostgreSQL, NoSQL, MongoDB, DynamoDB, AWS RDS, Redshift Frameworksand IDEs: VisualStudio Code, PyCharm, MVC, GitHub, ASP.NET Web Technologies:

CI/CD Tools:

HTML, CSS, PHP, JavaScript

Jenkins, CodePipeline, SonarQube, Nexus, GitHub Actions, GitLab CI/CD, ArgoCD, Spinnaker

DevOps and API Tools: Git, Gitlab, Bitbucket, Docker, Kubernetes, Jenkins, Prometheus, Grafana, Datadog, Elastic Search, Log Stash, Kibana(ELK), Terraform, Ansible, JIRA, Confluence, JFrog Design/Architecture: Data Structures, Object Oriented Programming, Microservices Architecture, API Development

Operating Systems:

Business intelligence Tools:

Scripting:

Windows, Linux

PowerBITableau, Snowflake

Bash, PowerShell, Unix Shell

PROFESSIONAL EXPERIENCE

Northern Trust, USA

AWS Cloud Engineer USA Jul 2024 – Current

• Designed, implemented, and managed a high-availability AWS Cloud infrastructure supporting 200+ microservices- based applications, ensuring 99.99% uptime using Terraform, Kubernetes, Docker, and Ansible, reducing system failures by 45%.

• Optimized database performance by 40% by designing and managing scalable AWS RDS, DynamoDB, and Redshift solutions while automating backup and replication processes with Bash, Python, and PowerShell.

• Spearheaded migration of 150TB+ structured and unstructured data from on-premises to AWS S3 and Snowflake, integrating with PowerBI and Tableau to enable real-time analytics, reducing reporting time by 60%.

• Designed and deployed cloud infrastructure on AWS, GCP, Azure, reducing deployment time 40% using Terraform, Ansible, CloudFormation, ensuring 99.99% uptime and improving system scalability 35%.

• Developed and automated CI/CD pipelines using Jenkins, Git, GitLab, Bitbucket, JFrog, improving deployment efficiency 50% and reducing manual errors 60%.

• Managed and optimized databases using MySQL, PostgreSQL, NoSQL, MongoDB, DynamoDB, AWS RDS, Redshift, reducing query execution time 30% and enhancing data integrity 99.9%.

• Engineered and deployed microservices architecture using Docker, Kubernetes, increasing application performance 45% and reducing downtime 25%.

• Developed and secured RESTful APIs using Python, Java, C, C++, and Bash, ensuring data transmission security 99.5% and improving system efficiency 40%.

• Developed and deployed secure APIs using Java, Python, Spring Boot, and RESTful services, optimizing response time by 30% and en suring seamless communication between 100+ distributed applications.

• Designed and implemented CI/CD pipelines using Git, GitHub, GitLab, Jenkins, Bitbucket, and JFrog Artifactory, reducing software release cycles by 70% and improving development efficiency. Northern Trust, USA (Intern)

AWS Devops Engineer USA Jan 2024– June 2024

• Developed scalable, event-driven serverless applications with AWS Lambda, API Gateway, DynamoDB, and SQS, reducing latency by 35% and improving application efficiency.

• Streamlined software releases by implementing a fully automated CI/CD process using Jenkins, Docker, GitLab, and Bitbucket, improving deployment speed by 85% and reducing rollbacks.

• Designed high-performance data pipelines using AWS Glue, Snowflake, MySQL, and PostgreSQL, reducing ETL processing time from 4 hours to 30 minutes, optimizing big data analytics for business insights.

• Designed, provisioned, and optimized a multi-region AWS cloud infrastructure with Terraform, Kubernetes, and Ansible, ensuring disaster recovery readiness and improving system failover by 95%.

• Migrated 200+ enterprise applications from on-premises to AWS EC2 and Redshift, reducing hardware costs by 60% and improving application performance.

• Led AWS EC2 and Kubernetes migration for 500+ virtual machines, improving application scalability by 50% and cutting infrastructure costs by $80K per year.

Cybage Software

Azure Cloud Engineer India Apr 2022– Dec 2022

• Developed and integrated monitoring solutions using Azure Monitor, Log Analytics, and Application Insights, reducing MTTR by 40% and improving real-time system health visibility across 2,000+ cloud resources.

• Enhanced cloud security by implementing Azure Key Vault, Azure Policy, and RBAC, reducing unauthorized access attempts by 85% and ensuring 100% compliance with security best practices.

• Designed and optimized micro services architecture using Azure Kubernetes Service (AKS), Azure Functions, Java, and Python, increasing system performance by 30% and enabling seamless API communication.

• Led a DevOps team of 10 engineers, streamlining CI/CD pipelines with Azure DevOps, GitHub Actions, Terraform, and PowerShell, improving collaboration, tracking, and deployment efficiency.

• Architected and deployed enterprise Azure cloud solutions, optimizing cost efficiency by 35% while ensuring high availability, fault tolerance, and scalability.

• Automated infrastructure provisioning and scaling using Terraform, ARM Templates, and Ansible, reducing deployment time from weeks to hours and increasing operational efficiency.

• Implemented advanced monitoring and observability using Azure Monitor, Log Analytics, Application Insights, and Kusto Query Language (KQL), reducing incident resolution time by 50% and increasing system observability by 60%.

• Developed automated server management scripts using PowerShell, Bash, and Azure Automation, reducing manual workload by 55% and maintaining 99.9% server uptime.

• Created interactive data visualization and reporting dashboards using Power BI, Azure Synapse Analytics, and Snowflake, reducing data processing time by 40% and enhancing business intelligence insights by 35%.

• Implemented cloud security best practices with Azure Security Center, Microsoft Defender for Cloud, and Compliance Manager, reducing security vulnerabilities by 30% and ensuring 100% regulatory compliance.

• Optimized full-stack development leveraging Azure App Services, HTML, CSS, JavaScript, ASP.NET Core, and Visual Studio Code, improving UI performance by 35% and enhancing user experience by 50%. Mphasis

Cloud Engineer India Jun 2019 – Mar 2022

• Led the development of containerized applications with Docker, Kubernetes, and Helm, reducing deployment failures by 90% and improving application portability.

• Enhanced cloud security with AWS Security Hub, IAM, and Active Directory, mitigating 80% of security threats and achieving industry compliance.

• Integrated PowerBI, Tableau, and Snowflake with AWS Redshift and DynamoDB, enabling real-time analytics and reducing business intelligence processing time by 70%.

• Managed large-scale DevOps transformations, implementing CI/CD pipelines with Git, Jenkins, JFrog Artifactory, and Bitbucket, increasing deployment frequency by 60% and reducing release errors.

• Managed and optimized 30+ microservices architectures in AWS Cloud and hybrid environments, leveraging Docker, Kubernetes (EKS, ECS), and Terraform to automate deployments, monitor system health, and reduce incident response time by 60%, ensuring 99.9% uptime.

• Designed and implemented scalable cloud-based solutions using AWS RDS, Redshift, DynamoDB, Snowflake, and PostgreSQL, integrating automated failover strategies and high-availability architectures, improving database performance by 50% and reducing downtime risks.

• Developed and maintained CI/CD pipelines with Jenkins, Git, GitLab, and Bitbucket, integrating Terraform, Ansible, and Kubernetes to automate provisioning, cut manual intervention by 70%, and speed up deployments by 40%.

• Implemented centralized logging and monitoring using ELK Stack (ElasticSearch, Logstash, Kibana), Prometheus, Grafana, and Datadog, improving log analysis speed by 50% across 1,500+ cloud instances.

• Engineered a multi-cloud hybrid infrastructure across AWS, GCP, and Azure, reducing cloud expenses by $120K+ annually while maintaining high availability with Terraform and Ansible. EDUCATION

Master of Science, Computer Science Jan2023- May 2024 University of North Texas, GPA: 4.00

Bachelor of Technology Aug2017–May 2021

Electronicsand Communication Engineering, CVSR, GPA: 4.00 CERTIFICATION

• AWS Certified Solutions Architect- Professional

• Introduction to web development by Coursera

PROJECTS

AWS Infrastructure Automation & CI/CD Implementation Challenge: Manual infrastructure provisioning led to inconsistent deployments and higher operational costs. Solution: Automated AWS infrastructure deployment using Terraform and Ansible, integrated CI/CD pipelines with Jenkins and AWS Codepipeline

Impact:

• Accelerated deployment cycles by 70% with fully automated infrastructure provisioning.

• Integrated AWS CloudWatch and Prometheus, reducing incident resolution time by 50%.

• Enforced least privilege access policies with AWS IAM, ensuring 100% security compliance. Cloud-Native Microservices Deployment on AWS

Challenge: The existing monolithic application struggled with scalability and high operational costs. Solution: Designed a containerized microservices architecture using Docker, Kubernetes (EKS), and AWS Fargate, ensuring auto- scaling and fault tolerance

Impact:

• Reduced request latency by 35% by implementing AWS ALB, Nginx, and Route 53 for load balancing.

• Enhanced security by enforcing IAM, Security Groups, and Kubernetes RBAC, reducing unauthorized access risks by 80%.

• Automated deployment pipelines using GitHub Actions and Helm charts, cutting release cycles by 60%.

Contact this candidate