Durkesh Jevanandem Email & Phone Number

Boston, MA, US

San Francisco, CA, US

• Created End to End CI/CD pipeline with Git, Jenkins, SonarQube, Docker, Argo and Kubernetes for Java (SpringBoot and Maven builds),JavaScript (NPM, Node and React JS), Python (Flask and Django) platforms.
• GitHub Webhook triggers the Jenkins declarative pipeline with docker as an agent running on a compute instance. Once the test cases andthe results from SonarQube are successful, the application gets containerized and.
• Argo CD operator deployed in the cluster, uses Git as a single source of truth, deploys the latest version of the docker image to the node.
• Implemented Rolling Update, Canary and Blue/Green deployments to efficiently rollout applications to the user.
• Created Load Balancer service with nginx controller to route traffic to the pods with load balancing capabilities, with Fargate and EC2 astarget groups to efficiently integrate auto-scaling strategies based on the CPU.
• Deployed Prometheus and Grafana to fetch kube state metrics and mongodb application using mongodb exporter to the metrics endpoint.

Littleton, MA, US

• Deployed Elasticsearch, Fluentd/Logstash and Kibana inside the Kubernetes node to scrape metrics about the application and store it usingEBS Persistent Volumes with CSI driver, service account, and IAM policies.
• Used Ansible galaxy to create roles separating vars, handlers, defaults, tasks, hosts and maintained in a Git repo, for an efficient installationof software packages across multiple servers.
• Utilized Istio service mesh capabilities to implement mTLS to verify the authorization between side car containers before initiating connection
• Used Istio add-ons like Kiali and Jaeger, to monitor the traces, which helps to find out if a pod becomes unreachable.
• Utilized Apache JMeter and Gremlin to test with chaos engineering strategies to measure performance before rolling out to the prod server.
• Stored the build artifacts in S3 and ECR, utilizing Swupdate to package and provide OTA software updates to customers. AWS SNS fan-outarchitecture ensured efficient delivery of push notifications to the customers.

• Implemented a Serverless CI pipeline, leveraging GitHub webhooks, AWS services including API Gateway, Lambda, SQS, EventBridge,EC2, DynamoDB, and SES, which resulted in a remarkable 98.5% reduction in overall cost.
• Created Serverless Lambda to take snapshots of unused EBS volumes and archived it preventing the existence of unused volumes regularlyevery 30 days using EventBridge CRON jobs.
• Orchestrated a seamless image processing pipeline where a local machine consistently delivered 100 product images per hour to the S3 bucket.This triggered the automatic activation of an EC2 instance via EventBridge.
• Leveraged AWS SES and SNS to send email notifications and alerts for all the products daily.
• Managed the configuration and setup of the server, encompassing the installation of critical dependencies using Ansible.
• Leveraged Redshift as a Data Warehouse, connected with AWS Glue to do ETL jobs and sent the results via Message Queues utilizing, managedApache Kafka, Kinesis delivered across servers to handle the machine learning.

• Deployed NFS mounts on VMware vCenter and orchestrated a High Availability cluster of ESXis utilizing shared storage volumes. Laterstreamlined by transitioning to a Synology NAS solution, optimizing storage management.
• Implemented hardware maintenance through VMware vMotion, facilitating seamless, zero downtime live transfers of ESXi hosts to optimizeresource allocation and ensure continuous service availability.
• Evaluated application compatibility with Azure services and planned migration phases, initiated cloud migration.
• Implemented Azure Active Directory for centralized user authentication. Integrated Azure AD with existing applications and systems to enablesingle sign-on experience for users to enhance identity and access management.
• Implemented Azure Availability sets and zones to ensure high availability and reliability of VMs. Configured auto scaling to dynamically adjustthe number of VM instances based on demand, optimizing resource utilization.
• Implemented Azure Monitor and Log analytics for real time monitoring of VM performance metrics.

Master Of Science - Ms, Electrical And Computer Engineering

Bachelor'S Degree, Electronics And Instrumentation Engineering