VASU SOMISETTY
+1-302-***-**** ***************@*****.*** linkedin.com/in/somisetty-vasu-124153212 CAREER SUMMARY
• AWS-focused Cloud Engineer with nearly 3 years of experience building, securing, and optimizing scalable cloud infrastructure to support reliable production environments.
• Hands-on expertise in AWS EC2, S3, IAM, and CloudWatch, leveraging Python automation to enhance system monitoring, operational efficiency, and cost control.
• Proven ability to deploy, maintain, and troubleshoot high-availability cloud environments aligned with security and infrastructure best practices.
• Collaborative professional focused on delivering stable, scalable AWS solutions that improve performance, reliability, and long-term operational sustainability.
EDUCATION & CERTIFICATIONS
• Master of Science in Information Systems & Technology Sept 2023 – Apr 2025 Wilmington University, DE, USA
• Bachelor of Technology in Electronics & Communication Engineering Jun 2018 – May 2022 Universal College of Engineering & Technology, Andhra Pradesh, India
• AWS Certified Cloud Practitioner
• AWS Certified Solutions Architect – Associate
AREAS OF EXPERTISE
• AWS Cloud Services: EC2, S3, IAM, CloudWatch, VPC basics, Monitoring & Logging
• Automation & Scripting: Python, Shell scripting, Infrastructure automation
• Cloud Operations: Deployment support, Performance monitoring, Incident troubleshooting
• Security & Access Management: IAM policies, resource protection, compliance awareness
• Data Handling: SQL, dataset validation supporting cloud workflows
• Tools & Workflow: Git, GitHub, Linux basics, Jupyter Notebook PROFESSIONAL EXPERIENCE
ShrinQ Consulting Group INC, USA May 2025 - Present AWS Cloud Engineer
• Provisioned, configured, and maintained AWS EC2 instances and S3 storage environments to support scalable operational and analytics workloads, ensuring secure setup, optimal performance, and high availability across cloud environments.
• Designed and enforced IAM roles, access policies, and permission frameworks to protect cloud resources, minimize unauthorized access risks, and maintain compliance with organizational security standards.
• Continuously monitored system performance, infrastructure logs, and service health using AWS CloudWatch dashboards and alert mechanisms, proactively identifying anomalies and resolving issues to maintain uptime and reliability.
• Automated infrastructure workflows using Python scripts, reducing manual operational effort and improving deployment consistency.
• Supported deployment and maintenance of cloud-hosted datasets and internal applications, ensuring seamless integration, accessibility, and performance stability aligned with business requirements.
• Reduced AWS EC2 and S3 costs by 15% through instance rightsizing and utilization monitoring.
• Collaborated with engineering and analytics teams to translate operational requirements into reliable AWS configurations that supported evolving workloads and long-term infrastructure stability. Sarya Connective Global Pvt. Ltd., India Jun 2022 – Jul 2023 Junior Systems Engineer
• Assisted in managing cloud-hosted infrastructure supporting analytics workflows by validating configurations, monitoring system usage, and maintaining reliable operational environments.
• Executed SQL and Python-driven workflows to validate, preprocess, and maintain cloud-based datasets, ensuring high data integrity and readiness for downstream applications.
• Supported automation initiatives through scripting and workflow improvements that reduced manual processing and enhanced repeatability of operational tasks.
• Performed troubleshooting and diagnostic checks to identify performance bottlenecks and resolve technical issues, maintaining uninterrupted pipeline execution.
• Documented infrastructure workflows, operational procedures, and troubleshooting guidelines to promote consistency and knowledge sharing across teams.
• Collaborated with senior engineers to uphold deployment standards and improve environment reliability through structured operational practices.
• Implemented validation and quality checks within cloud data workflows using Python and SQL to proactively detect inconsistencies and prevent downstream processing errors.
• Assisted in coordinating environment updates and configuration changes, ensuring smooth deployment transitions and minimizing operational disruptions.
Sarya Connective Global Pvt. Ltd., India Jul 2021 – May 2022 Cloud & Data Intern
• Supported cloud-based workflow operations by assisting with environment setup, dataset organization, and routine infrastructure maintenance activities.
• Developed Python scripts to automate repetitive preprocessing and operational tasks, improving efficiency and minimizing human error.
• Assisted in monitoring workflow execution and identifying inconsistencies to maintain stable data pipeline performance.
• Maintained detailed documentation of datasets, environment configurations, and workflow procedures to support reproducibility and team knowledge transfer.
• Gained hands-on experience with AWS infrastructure fundamentals and deployment lifecycle practices while contributing to supervised operational support tasks.
TECHNICAL PROJECTS
AWS-Based Data Pipeline Automation
• Developed Python-based automation workflows integrated with AWS storage services to streamline data ingestion, preprocessing, and operational execution across environments.
• Designed reusable pipeline frameworks to ensure consistent, maintainable execution across development and production environments.
• Implemented validation checkpoints and error handling to detect failures early and maintain workflow integrity.
• Improved pipeline execution efficiency through automation strategies and structured monitoring practices.
• Supported scalable cloud storage integration to enable reliable data processing and seamless pipeline scalability.
• Maintained comprehensive deployment documentation to support repeatable operational workflows and onboarding. Cloud Monitoring & Optimization Setup
• Configured AWS CloudWatch dashboards to continuously monitor infrastructure health, application performance, and system metrics.
• Implemented alerting mechanisms to proactively detect anomalies and reduce operational response time.
• Optimized resource utilization strategies to balance system performance, reliability, and cost efficiency.
• Supported logging workflows to enhance operational visibility and troubleshooting capabilities.
• Strengthened system reliability through structured monitoring, alerting, and performance tracking practices.
• Documented monitoring configurations to ensure operational consistency and maintainability. Secure Storage & Access Management
• Organized AWS S3 storage environments to enable structured, scalable, and secure data access workflows.
• Configured IAM permissions to enforce governance policies and protect critical infrastructure resources.
• Validated storage reliability and accessibility across operational and automated workflows.
• Supported implementation of cloud security best practices to safeguard sensitive data assets.
• Improved environment consistency through structured access controls and permission management.
• Maintained documentation to support compliance, audit readiness, and repeatable configuration processes.