Summary
Highly accomplished GCP Cloud Engineer with 6 years of experience specializing in designing, deploying, and managing scalable and secure cloud infrastructure on Google Cloud Platform. Proficient in automation, infrastructure-as-code (Terraform), and CI/CD pipelines to optimize system performance and developer workflows. Seeking to leverage expertise in cloud architecture and operations to drive robust solutions and foster innovation.
Experience
Senior Cloud EngineerCloudTech Solutions
- 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 EngineerInnovate Systems
- 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
- 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
- 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
- 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, BerkeleyMaster of Science in Computer Science
- 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 AustinBachelor of Engineering in Information Technology
- 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