Sunanda K Email & Phone Number

Dallas-Fort Worth Metroplex

Integrated EKS clusters with CI/CD pipelines for automated deployment of containerized applications, ensuring efficient and reliable software delivery.Worked on developing pyspark programs and created the data frames and worked on transformations.Configured Kubernetes cluster and supported them running on CoreOS, Administrating the operational tools like Jenkins, Nexus repository, SonarQube. Worked on cloud automation framework namely Ansible which included automation of certain software installation processes in the form of YAML.Experience working on Docker Hub, creating Docker images and handling multiple images primarily for middleware installations and domain configurations.Implemented Kafka producer and consumer applications on kafka cluster setup with help of ZookeeperExperience in writing the SQL queries in Oracle, MYSQL, DB2 ,SQL Server and Mongo DB.Experience in NoSQL (MongoDB) in using Techniques like Tree Aggregation, Adjacency Lists materialized paths.Created and used security groups, network ACL’s, internet gateways and route tables to ensure a secure zone for organization in AWS public cloud. Used Jenkins and pipelines to drive all services build out to the Docker registry and then deployed them to Kubernetes.Manage Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Ansible, Chef or custom-built, designing cloud-hosted solutions, specific AWS product suite experience proficient in using all Amazon Web Services including EC2, S3, Route53, RDS, ELB, IAM, AMI, ECS, Cloud Watch.

North Carolina, United States

Created Python and Bash tools to increase efficiency of application system and operations, data conversion scripts, REST, JSON scripts for API Integration.Engineered Python based API (RESTful Web Service) to track the events and perform analysis using Django.Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask, SQL Alchemy, and PostgreSQL.Connected continuous integration system with GIT version control repository and continually build as the check-in’s come from the developer.Implemented disaster recovery and failover mechanisms using Terraform to minimize downtime and data loss in the event of infrastructure failures.Outstanding facility with load balancers, routers and switches and excellent knowledge of database installation and configuration principles.Familiarity with the AWS and Pivotal Cloud Services.Experience in executing the Cl Jenkins build job for both Android and iOS application builds. Using GIT (Stash) tool as the source code repositories for all projects and Artifactory for all builds (ipa/apk) release repository.Involved and worked on different Rest API's development by using Flask.Wrote the Jenkinsfile to define the pipeline stages and use Kubernetes plugins in Jenkins to facilitate the deployment.Experienced in writing code in Perl to develop and deploy continuous test cases, in combination with Cl tools like Jenkins.Integrated EKS seamlessly with other AWS services such as IAM for authentication, CloudWatch for logging and monitoring, and VPC for network isolation.Integrated Golang APIs with databases (e.g., PostgreSQL, MongoDB) using ORM frameworks.

Developed Python Django forms to record data and the Login module page for users.Build numerous Lambda functions using python and automated the process using the event created.Automated the provisioning of Kubernetes clusters on a cloud provider using tools like Terraform.wrote Ansible playbooks to configure and managed Linux servers hosting the Jenkins server and other infrastructure components.Extensive knowledge with AWS services like S3, ELB, EBS, Auto-Scaling, Route53, Storefront, IAM, Cloud Watch, RDS.Developed Business Logic using Python on Django Web Framework.Worked on migrating data to Amazon AWS. Used AWS products like EC2, IAM, RDS, Log Monitor, Lambda, REST API Gateway etc.Implemented and managed monitoring and logging tools to ensure the reliability and performance of applications. Tools commonly used include Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana)Configured Docker networking to enable communication between containers and with external services.Proficient in bash and python scripting with focus on Devops tools, CI/CD.