Gauri Praveen Yadav
Languages spoken: English  [Good]
Hindi  [Good]

Summary

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Dedicated Google Cloud Trainer with extensive expertise in Google Cloud Platform (GCP), specializing in cloud security, Identity and Access Management (IAM), Kubernetes, serverless architectures, and AI/ML solutions using Vertex AI. Passionate about simplifying complex GCP concepts through immersive hands-on workshops, structured learning paths, and real-world use cases tailored to various skill levels. Experienced in designing and securing scalable cloud architectures, optimizing cloud-native workloads, and enabling developers, students, and enterprises to adopt GCP best practices confidently. Adept at integrating machine learning capabilities into cloud solutions, empowering teams to leverage Vertex AI for smarter, data-driven outcomes. A recognized mentor and public speaker, actively contributing to the cloud ecosystem by bridging knowledge gaps, advocating for inclusive tech education, and nurturing the next generation of cloud and AI professionals.

 


Experience

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DevOps Engineer – K21 Academy

#Designed and developed comprehensive training modules focused on Google Cloud and DevOps, tailored for early-career cloud professionals and aspirants.

#Created hands-on labs and scenario-based assignments to provide learners with real-world experience using GCP services such as Compute Engine, Cloud Storage, and IAM.

#Supported the delivery of live interactive sessions covering CI/CD pipeline automation, Kubernetes orchestration, and Infrastructure as Code (IaC) practices using Terraform.

#Conducted in-depth research on GCP’s security model and cost-efficiency tools, integrating findings into course content to promote best practices.

#Played a pivotal role in curriculum innovation to align with current industry requirements and certification pathways.


Cloud Engineer – Tech with Enginer

#Designed and deployed secure, scalable, and production-ready Google Cloud infrastructures for internal and client-facing applications.

#Configured core networking components including Virtual Private Cloud (VPC), firewall rules, load balancing, and NAT gateways to support hybrid and multi-cloud strategies.

#Assisted in seamless workload migration from on-premise and other cloud providers to Google Cloud, maintaining compliance with security and governance frameworks.

#Automated provisioning and operational tasks using Terraform and Google Cloud Deployment Manager to improve efficiency and reduce human error.

#Collaborated with DevOps and security teams to implement identity management, policy enforcement, and audit logging across GCP environments.

Cloud Engineer – GAVEdu

#Spearheaded the execution of enterprise-grade cloud solutions using key Google Cloud services such as IAM, Cloud SQL, Cloud Run, and Google Kubernetes Engine (GKE).

#Led and facilitated technical workshops, bootcamps, and live sessions on GCP security, DevOps workflows, and cloud-native practices.

#Built proof-of-concept (PoC) architectures to illustrate the practical benefits of GCP for different business and educational scenarios.

#Worked closely with product, development, and compliance teams to fine-tune performance, enforce least-privilege access, and establish secure-by-default environments.

#Championed community engagement by mentoring aspiring cloud engineers and contributing to cloud-focused learning resources.

Docker Captain – Docker Community

#Recognized as a Docker Captain for contributions to the container ecosystem and advocacy for modern DevOps practices.

#Delivered talks, tutorials, and live demos on Docker fundamentals, container orchestration, and best practices in microservices architecture.

#Provided mentorship to developers and engineers seeking to adopt containerization in their cloud workflows, particularly with Docker and Kubernetes integration.

#Contributed to open-source documentation and created learning materials that bridged the gap between beginners and advanced Docker users.

#Actively collaborated with global DevOps and cloud-native communities to promote secure and scalable container deployment strategies.

 

Skills

 
Google Cloud:Google Cloud AI and ML FundamentalsGoogle Cloud:Google Cloud Architect
Google Cloud:Google Cloud DeveloperGoogle Cloud:Google Cloud DevOps Engineer
Google Cloud:Google Cloud EngineerGoogle Cloud:Google Cloud Engineer for AWS Professional
Google Cloud:Google Cloud Engineer for Azure ProfessionalGoogle Cloud:Google Cloud Machine Learning - Beginner to Intermediate
Google Cloud:Google Cloud Workspace AdministratorGoogle Cloud:Google Compute Engine Administrator
Google Cloud:Google Cloud AI and ML FundamentalsGoogle Cloud:Google Cloud Architect
Google Cloud:Google Cloud DeveloperGoogle Cloud:Google Cloud DevOps Engineer
Google Cloud:Google Cloud EngineerGoogle Cloud:Google Cloud Engineer for AWS Professional

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