Gayatri K

About Gayatri K

I\'m a Graduate Student at Central Michigan University, focusing on Information Systems. With a Bachelor\'s in Computer Science and experience as a Full-Stack Developer, I specialize in building AI-powered solutions, web applications, and data-driven insights. I have a strong foundation in cloud technologies, cybersecurity, and machine learning, with a passion for continuous growth and problem-solving. Let’s connect and collaborate!

Experience

1. Sr Sre Devops Engineer

   TD

   Jan 2024 — Present · NJ, US

   Developed Terraform modules to provision DynamoDB tables and used Python (Boto3) to insert data. Used AWS Lambda to scan registration tables and send metrics to AWS Elasticsearch (Kibana). Built AWS Elasticsearch clusters using Terraform; implemented Python scripts with Boto3 & NumPy to pull GitLab project metrics into Kibana via Lambda & CloudWatch (Cron). Scanned security vulnerabilities using Black Duck; integrated Lambda with Amazon Kinesis for streaming data. Developed ETL process to migrate data from DynamoDB to Redshift using AWS Lambda. Configured and optimized Azure Databricks clusters for high-performance, large-scale data processing. Deployed and managed Kubernetes clusters across clouds using Rancher. Automated Azure resource provisioning with PowerShell and Azure DevOps pipelines. Integrated Azure Key Vault with services for secure key and secret management. Embedded Selenium test automation into Azure DevOps pipelines to boost test coverage. Deployed and maintained on-prem Hadoop clusters; managed HDFS & YARN for resource optimization. Configured Harness CD pipelines to deploy artifacts from Nexus to dev, staging, and production. Collaborated cross-functionally as a network engineer, focused on product reliability and network optimization. Delivered DevSecOps training on security automation, tooling, and shift-left practices. Managed and optimized Azure Databricks clusters; improved runtime performance and cost-efficiency. Enabled Azure Log Analytics integration for VM-level monitoring and metric tracking. Configured Databricks clusters with secure runtimes, libraries, and job policies. Optimized Helm charts for AKS deployments; used Jenkins pipelines to deploy microservices as Docker containers on Kubernetes. Used Ansible and Ansible Tower for configuration management across multi-node environments. Integrated Bicep with Azure DevOps for seamless infrastructure updates and continuous deployment.

Education

• GITAM university of Technology

  Bachelors

  2009 — 2013