Anil Kumar Chokkakula
DevOps GCP Cloud Automation Implementations Engineer with AWS and AZURE. ♾️DevOps Engineer ||☁️GCP ||☁️ AWS Cloud || ☁️Azure || ✅Terraform || 📺Jenkins || CI / CD || 🐧 Ansible ||🏴☠️ Kubernetes ||⚓Docker || 📡SRE ||
- Role
- Lead Devops Automation Engineer at Capgemini
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Anil Kumar Chokkakula
Having 12+ years of hands-on involvement in IT industry and over 9+ Years of extensive…
Experience
Lead Devops Automation Engineer
Jun 2024 — Present · Charlotte, NC, US
Proficiency in GCP services and tools (e.g, Compute Engine, Cloud Storage, Cloud SQL)• Experience with cloud architecture design and implementation• Strong understanding of cloud security and compliance• Knowledge of DevOps practices and tools (e.g, Terraform, Jenkins)• Excellent problem-solving and analytical skills• Ability to work in a fast-paced environment and prioritize tasks effectively• Developed and maintained serverless architectures using AWS services such as API Gateway, CloudFormation, and CloudWatch• Developed and maintained security best practices for AWS services such as IAM, KMS,• Integrate GKE with GCP services and external tools.• Ensure scalability, security, and compliance by GKE.• Integrate GKE with other GCP services (e.g, Cloud Storage).• Configure CI/CD pipelines using Cloud Build.• Monitor and troubleshoot data pipelines and storage solutions using GCP\'s Stackdriver and Cloud Monitoring• Developed and maintained scalable infrastructure using Kubernetes Engine, managing microservices with max uptime.• Automated build and deployment pipelines reducing deployment time by 50%, utilizing Terraform for IaaS orchestration• Orchestrated multi-environment Cloud SQL setups, ensuring strict compliance and data protection standards.• Configured firewall rules and VPC settings to bolster infrastructure security across different projects.• Managed Big Data components with a focus on BigQuery, enhancing data analytics performance for client projects.• Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL• Build and deploy machine learning models using GCP\'s AI Platform and TensorFlow• Implement data security and access controls using GCP\'s Identity and Access Management (IAM) and Cloud Security Command Center• Monitor and troubleshoot data pipelines and storage solutions using GCP\'s Stack driver and Cloud Monitoring
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