Cloud Engineer - AWS Infrastructure & Automation Expert

GAYATHRI GORANTLA

+1-571-***-**** ********************@*****.*** linkedin.com/in/gayathri-gorantla-053a53222 CAREER SUMMARY

• Cloud Engineer with 2+ years of experience designing, deploying, and optimizing scalable, highly available AWS infrastructure supporting production workloads and cloud-native applications.

• Hands-on expertise in AWS services including EC2, S3, IAM, Lambda, RDS, VPC, CloudWatch, ECS, and Auto Scaling, leveraging Python automation and Infrastructure-as-Code to streamline provisioning and operations.

• Skilled in cloud architecture, DevOps practices, and CI/CD pipeline implementation to improve system reliability, performance, and deployment efficiency.

• Experienced in infrastructure monitoring, cost optimization, disaster recovery planning, and security governance aligned with AWS best practices.

• Recognized for delivering automation-driven cloud solutions that enhance scalability, operational consistency, and infrastructure resilience.

AREAS OF EXPERTISE

• AWS Cloud Services: EC2, S3, IAM, Lambda, ECS, RDS, DynamoDB, VPC, CloudWatch, CloudTrail, Elastic Load Balancing, Auto Scaling

• Infrastructure Automation & DevOps: Python, Boto3, Terraform, CloudFormation, Jenkins, Git, GitHub Actions, Bash scripting, Linux basics

• Containerization: Docker fundamentals, ECS deployment concepts

• Networking & Security: VPC architecture, subnet design, security groups, NACLs, IAM policies, encryption, compliance best practices

• Databases & Storage: RDS (MySQL/PostgreSQL), DynamoDB scaling, S3 lifecycle management, Glacier backups, EBS snapshots

• Monitoring & Optimization: CloudWatch dashboards, logging, performance tuning, cost optimization

• Tools & Operations: AWS CLI, Ansible basics, version control workflows, incident response support EDUCATION

• Masters of Science in Information Technology Sep 2023 – Apr 2025 Wilmington University, DE, USA

• Bachelor of Technology in Computer Science and Engineering Jun 2019 – Apr 2023 Sagi Ramakrishnam Raju Engineering College, Andhra Pradesh, India CERTIFICATIONS

• AWS Certified Cloud Practitioner

• AWS Certified Solutions Architect – Associate

• Python Programming – Great Learning

PROFESSIONAL EXPERIENCE

ShrinQ Consulting Group INC, USA May 2025 - Present Cloud Engineer

• Architected and deployed highly available AWS infrastructure using EC2, VPC, IAM, RDS, and Auto Scaling to support production workloads, reducing service downtime by 25% and improving system resilience.

• Designed fault-tolerant scaling architectures to handle variable traffic loads, enhancing application stability and performance under peak demand conditions.

• Automated infrastructure provisioning and operational workflows using Python and Boto3, streamlining deployments and improving efficiency by approximately 40%.

• Implemented CloudWatch dashboards, alerting frameworks, and centralized logging pipelines to enable proactive monitoring, incident detection, and cost visibility, contributing to a 15% reduction in cloud expenses.

• Developed CI/CD pipelines using Jenkins and Git to standardize deployment processes, accelerate release cycles, and improve delivery consistency across environments.

• Managed RDS and DynamoDB environments including scaling, automated backups, performance tuning, and disaster recovery preparation to ensure data availability and operational continuity.

• Strengthened cloud security posture by enforcing IAM governance, access controls, and compliance-aligned practices to reduce risk exposure.

• Collaborated with cross-functional engineering teams to design scalable cloud solutions aligned with business objectives and operational requirements.

• Optimized infrastructure performance through capacity planning, resource tuning, and continuous environment assessments, improving scalability, reliability, and long-term operational efficiency. Sarya Connective Global Pvt. Ltd., India Feb 2023 – Aug 2023 Junior Cloud Engineer

• Supported deployment of AWS infrastructure including EC2, S3, Lambda, and IAM for scalable and secure application environments.

• Automated provisioning and monitoring workflows using Python to improve operational consistency.

• Implemented VPC networking with subnet segmentation and security controls for workload isolation.

• Optimized S3 lifecycle and backup processes to enhance storage efficiency and cost management.

• Assisted CI/CD pipeline integration to enable automated releases.

• Monitored infrastructure performance using CloudWatch and recommended optimization improvements.

• Documented architecture workflows and troubleshooting procedures to support operational continuity. Sarya Connective Global Pvt. Ltd., India Mar 2022 – Feb 2023 Cloud Engineer Intern

• Assisted configuration and deployment of AWS resources including EC2, S3, RDS, and IAM to support secure and reliable cloud environments.

• Performed infrastructure monitoring and log analysis using CloudWatch to detect anomalies and support performance improvements.

• Supported automation initiatives using Python and Boto3 to reduce repetitive operational tasks.

• Implemented VPC networking components and security controls to align with infrastructure best practices.

• Contributed to disaster recovery preparation through snapshot scheduling and backup validation workflows.

• Validated infrastructure deployments to ensure operational readiness and compliance with configuration standards. TECHNICAL PROJECTS

AWS Cloud Infrastructure Monitoring & Cost Optimization Project

• Architected scalable AWS infrastructure using EC2, VPC, IAM, RDS, and CloudWatch to support resilient production workloads.

• Built CloudWatch dashboards and alerting pipelines for proactive infrastructure monitoring and availability management.

• Implemented EC2 rightsizing, Auto Scaling, and storage optimization strategies achieving ~25% cost reduction.

• Automated disaster recovery workflows using Lambda and snapshot scheduling to improve recovery readiness.

• Applied tagging governance policies to enhance cost visibility and resource accountability. Cloud Automation Using Python for Infrastructure Operations

• Developed Python and Boto3 automation scripts for infrastructure validation, backup verification, and resource health checks.

• Automated monitoring alerts and operational workflows, reducing manual administrative effort by approximately 40%.

• Standardized infrastructure management tasks to improve incident response efficiency and deployment consistency.

• Minimized operational risk by automating repetitive cloud processes aligned with AWS best practices. Cloud-Based Infrastructure Analytics & Performance Optimization

• Designed SQL-driven analytics workflows using cloud-hosted databases to evaluate infrastructure performance and utilization patterns.

• Built operational dashboards to monitor system efficiency, resource consumption, and scaling behavior.

• Identified infrastructure bottlenecks and optimization opportunities supporting performance tuning decisions.

• Delivered actionable insights to guide resource planning and improve system reliability.

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