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 push the docker container to the registry.• 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 metrics.• Deployed Prometheus and Grafana to fetch kube state metrics and mongodb application using mongodb exporter to the metrics endpoint.• Worked with QA team in deploying the test scripts using Mockito, JUnit, SpringBoot Unit, PyTest, Selenium frameworks.• Stored User Details in AWS Relational Database(MySQL)and Serverless Aurora deployed in a private subnet using NAT gateways, NACLand Security Groups.• CI infrastructure was established using Terraform, ensuring consistent and scalable infrastructure as code, and used DynamoDB to maintain thelock file preventing other DevOps engineers from accessing the lock file stored in S3 bucket, maintaining different workspaces.• Leveraged PagerDuty and AWS SNS to send alert metrics scraped from Prometheus alert manager stored in a Time Series Database.• Worked with cross-functional QA team to develop Power on Self-Test script to collect system functionalities written in Python.

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 attached as a Stateful set.• 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 Grafana integration for CloudWatch data visualization, reducing downtime, proactively resolving incidents, conducted RootCause Analysis and implemented preventive measures to fortify system resilience.

• 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, enabling the processing and storing results of approximately2,400 image data entries per day in a DynamoDB database.• 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 workload in a Hadoop distributed File System strategy.

• 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, and simplifying infrastructure configuration.• 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 processes.• 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 which led to reduction in 50% operational costs.• 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