Naveen V Email & Phone Number

Ontario, Canada

• Worked with software developers, and end users to gather the scope of work, design and implement their requirements.
• Deployed applications into the AWS cloud using Amazon EC2, VPC (Virtual Private Cloud), IAM (Identity and Access Management), AWS S3, Cloud Watch, Cloud Trail, and Route 53.
• Created customized VPC, Subnets, and NAT to ensure successful deployment of Web applications and database templates.
• Expertise in using Amazon ECR as a private Docker container registry to store, manage, and deploy container images securely.
• Utilized remote backends like stored state files in AWS S3 buckets. Implemented DynamoDB for state locking. Employed workspaces for environment segregation (dev, stage, prod) in Terraform.
• Developed custom Terraform modules for reusable infrastructure components to enhance code modularity and maintainability.

Hyderabad, Telangana, India

• Configured VMs availability sets using Azure portal to provide resiliency for IaaS based solutions and scale sets using Azure Resource Manager to manage network traffic.
• Configured Azure Backup service for taking backup of Azure VM and data on premise to Azure, built and installed servers through Azure Resource Manager (ARM) templates or Azure Portal.
• Using Azure cloud services performed various web operations in Azure App Service. Familiarity with Azure OMS monitoring and dashboards.
• Installed, Configured, and administered VMware ESXi Setup vCenter Server in the environment, Configured HA, DRS.
• Installed Web components like IIS, Apache, and Tomcat Servers, on the Windows 2008/ UNIX environments.
• Installed ESX Servers, vSphere Client, and vCenter Server and Deployed Virtual Machines and used Clones, Snapshots, templates, and configuring vMotion and Storage vMotion.

India

• Delivered round-the-clock support for Kafka infrastructure, proactively addressing issues and ensuring high availability and minimal downtime for critical data streaming applications.
• Engineered scalable Kafka data pipelines capable of processing terabytes of data daily, ensuring efficient and reliable data ingestion, transformation, and delivery.
• Enhanced Kafka security by configuring SSL/TLS for encrypted communication and integrating with Kerberos for secure authentication, protecting data against unauthorized access.
• Leveraged AWS services such as EC2 for computing, S3 for storage, and IAM for access management to deploy and maintain secure and scalable Kafka clusters.
• Deployed Kafka Schema Registry to centrally manage Avro schemas, enabling producers and consumers to ensure schema compatibility and proper serialization/deserialization of data.
• Seamlessly integrated Kafka with AWS Kinesis for data streaming and AWS Lambda for serverless processing, facilitating real-time data processing workflows.