Summary

Experience

Senior Cloud Engineer|CloudTech Solutions

San Francisco, CASep 2021Present

• Led the migration of on-premise infrastructure to GCP for a critical e-commerce platform, reducing operational costs by 25% and improving system uptime to 99.99%.
• Developed and maintained CI/CD pipelines using GitLab CI and Google Cloud Build, increasing deployment frequency by 40% and reducing manual errors by 30%.
• Implemented secure network architectures using VPC, Shared VPC, Cloud Armor, and Cloud CDN, enhancing data security and application performance by 15%.

Cloud Engineer|Innovate Systems

Austin, TXJun 2018Aug 2021

• Designed and deployed scalable data processing pipelines using Dataflow, BigQuery, and Pub/Sub, handling over 1TB of daily ingested data with 99.9% reliability.
• Automated infrastructure provisioning for over 50 GCP resources using Terraform, reducing deployment time by 50% and ensuring environment consistency.
• Implemented comprehensive monitoring and logging solutions with Cloud Monitoring and Cloud Logging, decreasing incident resolution time by 25%.

Projects

GCP Cost Optimizer

Jan 2023Apr 2023

• Developed a Python application leveraging GCP APIs to identify idle or underutilized resources (Compute Engine instances, Persistent Disks) across projects.
• Generated automated reports and suggested optimizations, leading to an average potential cost savings of 18% for typical GCP environments.
• Integrated with Pub/Sub for alert notifications and Cloud Functions for scheduled execution, ensuring timely cost management.

Kubernetes CI/CD Pipeline on GKE

Jul 2022Oct 2022

• Engineered a complete CI/CD pipeline for containerized applications on GKE using Cloud Build, Artifact Registry, and Helm.
• Automated testing, building, and deployment processes, reducing application release cycles from hours to minutes.
• Integrated security scanning tools into the pipeline to ensure vulnerability checks on Docker images before deployment.

Serverless API Gateway with Cloud Functions

Nov 2021Jan 2022

• Built a highly scalable and cost-effective RESTful API using Cloud Functions, API Gateway, and Firestore for backend data storage.
• Achieved near-zero operational overhead and automatic scaling to handle varying traffic loads efficiently.
• Implemented robust authentication and authorization mechanisms using Firebase Authentication for secure access.

Education

University of California, Berkeley|Master of Science in Computer Science

Berkeley, CAAug 2016May 2018

• Specialization in Distributed Systems and Cloud Computing.
• Awarded Dean's List for three semesters, maintaining a GPA of 3.8/4.0.

University of Texas at Austin|Bachelor of Engineering in Information Technology

Austin, TXAug 2012May 2016

• Graduated Magna Cum Laude, with a GPA of 3.7/4.0.
• Completed capstone project: 'Scalable Data Processing with Apache Spark'.

Skills

Cloud Platforms

Google Cloud Platform (GCP)AWS (Basic)Azure (Basic)Cloud Architecture

GCP Services

Compute EngineGKE (Kubernetes Engine)Cloud FunctionsCloud SQLBigQueryDataflowPub/SubCloud StorageVPCCloud Load BalancingCloud CDNCloud ArmorCloud MonitoringCloud LoggingIdentity and Access Management (IAM)Cloud Build

Infrastructure & Automation

TerraformAnsibleDockerKubernetesHelmGitCI/CDBashPythonGo

Networking & Security

TCP/IPDNSFirewall RulesVPNSSL/TLSComplianceSecurity Best Practices

Databases & Data

PostgreSQLMySQLNoSQLBigQueryData WarehousingETL