Karthik Gundu

Karthik Gundu

Cloud DevOps Engineer
India

About Me

Dedicated and result-driven Cloud Devops professional with over two years of experience optimizing IT operations. Proficient in streamlining processes and enhancing efficiency through the utilization of cloud infrastruct…

Experience

Cloud Devops Engineer

DataFactZ
Feb 2022 - Present · 4 years 4 months

▪ Designed and implemented cloud infrastructure using AWS & Azure, ensuring highly available and scalability of applications.
▪ Proficient in AWS services (EC2, S3, CDN, Route 53, ASG, ELBs) for performance, scalability, and cost optimization.
▪ Led the setup of AWS VPC to host and manage critical applications, prioritizing data privacy and high availability,
▪ Configured Amazon Route 53 for DNS record management.
▪ Enhanced security posture by implementing IAM roles, policies, VPC security groups, AWS WAF, and Network ACLs to safeguard against potential threats and vulnerabilities.
▪ Implemented automated log file backup to S3 for enhanced data resilience and recovery capabilities.
▪ Streamlined infrastructure provisioning and management through automation using Terraform and Ansible.
▪ Implemented CI/CD pipelines using Jenkins, to automate code deployment and streamline development workflows.
▪ Utilized Git for version control management, facilitating collaborative development and efficient code deployment processes.
▪ Implemented Docker containers for application deployment, enhancing portability and resource efficiency.
▪ Orchestrated scalable deployments with Kubernetes, ensuring reliability and adaptability.
▪ Integrated vulnerability scanning using Trivy and Kubeaudit for robust Kubernetes cluster security.
▪ Implemented comprehensive monitoring and alerting solutions using CloudWatch, Prometheus, Grafana, Blackbox Exporter, and Node Exporter, enabling proactive tracking of system and website performance metrics.
▪ Extensive experience with Azure service offerings including Azure Active Directory, Web Apps, Storages, Blobs, VMs, DNS, Gateways, Load balancer, VPN and Auto scaling.
▪ Expertise in building CI/CD pipelines in Azure environments using Azure DevOps.
▪ Skilled in optimizing data management and analytics using Microsoft SQL, Azure Data Factory, Azure Synapse, Data Lake, RDS, MySQL, Redshift, and Glue

Cloud DevOps Engineer

DataFactZ
Feb 2022 - Feb 2024 · 2 years

Designed and implemented cloud infrastructure using AWS and Azure, ensuring highly available and scalable applications.
Proficient in AWS services (EC2, S3, CDN, Route 53, ASG, ELBs) for performance, scalability, and cost optimization.
Led the setup of AWS VPC to host and manage critical applications, prioritizing data privacy and high availability.
Configured Amazon Route 53 for DNS record management.
Enhanced security posture by implementing IAM roles, policies, VPC security groups, AWS WAF, and Network ACLs to safeguard against potential threats and vulnerabilities.
Implemented automated log file backup to S3 for enhanced data resilience and recovery capabilities.
Streamlined infrastructure provisioning and management through automation using Terraform and Ansible.
Implemented CI/CD pipelines using Jenkins to automate code deployment and streamline development workflows.
Utilized Git for version control management, facilitating collaborative development and efficient code deployment processes.
Implemented Docker containers for application deployment, enhancing portability and resource efficiency.
Orchestrated scalable deployments with Kubernetes, ensuring reliability and adaptability.
Integrated vulnerability scanning using Trivy and Kubeaudit for robust Kubernetes cluster security.
Implemented comprehensive monitoring and alerting solutions using CloudWatch, Prometheus, Grafana, Blackbox Exporter, and Node Exporter, enabling proactive tracking of system and website performance metrics.
Extensive experience with Azure service offerings including Azure Active Directory, Web Apps, Storages, Blobs, VMs, DNS, Gateways, Load balancer, VPN and Auto scaling.
Expertise in building CI/CD pipelines in Azure environments using Azure DevOps.
Skilled in optimizing data management and analytics using Microsoft SQL, Azure Data Factory, Azure Synapse, Data Lake, RDS, MySQL, Redshift, and Glue.

Skills

Cloud Services DevOps GIT Version Control (GIT) Microsoft Azure MSSQL Prometheus Monitoring Ansible Amazon Web Services (AWS) Cloud Infrastructure Docker Jenkins Kubernetes Terraform Linux OS Amazon Web Service (AWS Cloud) Microsoft Azure (Azure Cloud) Git GitHub Maven Trivy EKS AKS Azure Boards Azure Repos Azure Pipelines Test Plans Artifacts CloudFormation ARM Templates Prometheus Grafana CloudWatch MS SQL RDS Windows Bash Python YAML Nexus Effective Communication Problem Solving Continuous Learning Critical Thinking Creative Thinking Leadership Azure Active Directory Web Apps Storage Blobs VMs DNS Gateways Load Balancer VPN Auto Scaling Azure DevOps Azure Data Factory Azure Synapse
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