VishnuPriya K
Devops Engineer (AWS Certified Solution Architect - Associate Certificate)
Bengaluru,KA
Summary
Over 7+ years of experience using DevOps tools including GIT,Jenkins, Maven, Docker, Kubernetes, Terraform, Harness and AWS Cloud. Working with various AWS services like Creating EC2 Instances, and configuring all web Services like EC2, S3 bucket, IAM, EKS, Elastic Load balancers, Autoscaling, cloud watch etc. Provisioning of infrastructure using Terraform to create VPC, VPC Peering, Subnet, Security Groups, Route Table, NAT Gateway, S3, EC2, IAM, ELB, Route S3, SNS, SQS, RDS etc. Creating CI/CD pipelines using Harness automation tool. Handled application deployments by building docker images and deploying them to Kubernetes. Possess good knowledge in creating and launching EC2 instances using AMI’S and snapshots for the backups. Knowledge of IAM services to create user's groups, create users, attaching user to the group, sign roles and define policies. Created VPC, subnets, NAT gateways, Internet gateways, Peering, route Tables. Created S3 bucket configured S3 bucket with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement. Hands on experience on AWS CLI. Developed Automated CI/CD Pipelines for deployment using Harness and AWS Code PIPELINE. Created Containers of MYSQL, Redis, Apache webserver on docker.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Project: United Airlines –EGY Data Platform
United Airlines
04.2025 - Current
- Provisioned and automated AWS infrastructure using Harness CI/CD pipelines, enabling consistent environment deployments across development and production.
- Built scalable ETL pipelines using AWS Glue to process and transform large datasets for analytics workflows.
- Designed and optimized data warehouse architecture using Amazon Redshift, improving data query performance for reporting and analysis.
- Developed interactive dashboards and visual analytics using Amazon QuickSight, enabling business teams to access real-time insights.
- Integrated data pipelines with Amazon Simple Storage Service (S3) for centralized data storage and processing.
- Managed Redshift cluster configurations, including workload management, query optimization, and performance tuning.
- Migrated application monitoring and observability platform from Datadog to Dynatrace, ensuring improved application performance monitoring and infrastructure visibility.
- Configured Dynatrace OneAgent, dashboards, alerts, and service monitoring for AWS workloads and microservices.
- Implemented centralized logging and monitoring using Amazon CloudWatch for ETL jobs, Redshift clusters, and application services.
- Collaborated with development and analytics teams to improve system reliability and troubleshoot performance issues.
Project: United Airlines – DVR
United Airlines
02.2025 - 04.2025
- Designed and managed containerized workloads for the DVR platform using Amazon Elastic Container Service (ECS) to support scalable video processing and recording services.
- Built and deployed Docker container images and pushed them to Amazon Elastic Container Registry (ECR) for secure and version-controlled deployments.
- Configured ECS clusters and task definitions to run microservices responsible for video ingestion, processing, and storage.
- Implemented auto-scaling policies using Amazon CloudWatch metrics to dynamically scale DVR services based on CPU and memory utilization.
- Automated infrastructure provisioning using AWS CloudFormation / Terraform, improving deployment consistency across environments.
- Integrated CI/CD pipelines to automate container build, testing, and deployment workflows for DVR microservices.
- Configured secure networking for ECS services using Amazon Virtual Private Cloud (VPC), load balancers, and security groups.
- Implemented centralized logging and monitoring using CloudWatch Logs and dashboards to monitor DVR service health and troubleshoot issues.
- Managed container deployment strategies including rolling updates and blue-green deployments to minimize downtime.
- Optimized container resource allocation and task scheduling within ECS clusters to improve system performance and reduce operational costs.
Project: United Airlines – Weight & Balance
United Airlines
05.2023 - 02.2025
- Setup Cloud infrastructure on AWS using CFN templates provisioning for services - EC2, EKS, EMR, IAM, VPC, Auto scaling, S3, Route53 and AWS CLI.
- Implemented Maven based CICD pipelines using Harness automation.
- Creation, Upgrade of EKS clusters and maintaining them.
- Migrated the deployments from TeamCity to Harness Automation.
- Source code migration from on-prem SCM to GIT public cloud.
- Set up Dev, QA, Stage and PROD-DR AWS infrastructure using CFN & Terraform automation and integrating harness deployments.
- Debugging assistance to AD team checking the logs for any infrastructure issues and resolving them.
- Sharing Datadog logs with AD team in resolving the defect fixes and deploying them.
- Created the EMR (Elastic Map Reduction) cluster in all environments and setup Step configuration for running the Jobs.
- Created the Lambda functions using terraform as per Dev requirements.
- Worked on MSK cluster and MSK topics creation in all environments.
- United Airlines is one of the biggest airlines in US. The project involves development and maintenance of various modules like baggage cargo, weight & balances, airlines operations etc. The project is being migrated to deploy to AWS infrastructure and re-design of the services and also upgrading the deployment architecture using Harness Automation.
Project: Supply Chain Portal (LMG)
Supply Chain Portal (LMG)
03.2020 - 04.2023
- Setup Cloud infrastructure on AWS using Terraform provisioning for services - EC2, IAM, VPC, Autoscaling, ELB, S3, and AWS CLI.
- Implemented Groovy based Jenkins file for automating CI-CD process.
- Created AMI images, EC2 Instances, attach Volumes to EC2 Instances using AWS CLI and GUI.
- Created events in s3 buckets and modify permissions. Create and configure S3 bucket with restricted policies.
- Cross Account permissioning using IAM User & Roles.
- Implemented IAM policies and Roles as per organization requirement.
- Implemented Docker for creating development environment and QA environment.
- Implemented the build process with tool like Maven.
- Creating and managing Virtual Machines and Templates, Worked with clones and snapshots of Virtual Machines Windows and Linux servers.
- By Using Ansible we can connect to all servers and install the packages by writing the playbooks.
- This is an end-to-end tracking system, and the main purpose of the project is to bring visibility into the supply chain operations of Landmark's partners, such as, supplier, consolidation points & various DCs (Distribution Centers) and CFS locations (3rd Party WH). The system will track the information from source location to RDS location.
- Environment/Tools: Git, Jenkins, Aws services, Terraform, Maven, Tomcat, Grafana, Docker hub
Project: Unified Data Management -1knot9 innovations private limited
Unified Data Management -1knot9 innovations private limited
08.2017 - 02.2020
- Worked as Cloud Administrator on Microsoft Azure, involved in configuring virtual machines, storage accounts, resource groups.
- Worked on cost saving to the customers.
- Remote login to Virtual Machines to troubleshoot and monitor.
- Supporting customers with infrastructure tasks including provisioning cloud environments (servers, networking and storage) performing upgrades and addressing day-to-day customer issues via phone and tickets, building administration, maintaining and troubleshooting Microsft azure cloud.
- Configured VNET peering for virtual machines in all scenarios such as different virtual network and different regions, same virtual network and for different virtual network but same region.
- Creating NSG rules, modifying depending on request.
- Knowledge with Availability set and Availability zones for the VM.
- Enabling backup for the VM and performing the restoration of VM.
- Creating Storage accounts and sharing access to the users with access keys.
- Deployed and managed Windows Azure VMs, VNets.
- Added disks, memory, CPUs to VMs, extended disk space and took care of all VM related issues.
- Working with Azure portal to create all the above resources, managing them and providing technical support if any issues as well.
- The UDM stores subscriber information externally where all the details regarding the user equipment are stored - the SIM details and the user details. The data of the user is authenticated by Home Location Register (HLR) to Visitor Location Register (VLR).
- Environment/Tools: Microsoft Azure
Education
Bachelor of Engineering - Electronics and Communications Engineering
Skills
Programming Languages: Python, Java
Cloud Environment: AWS Services - EC2, EKS, IAM Policies, S3 buckets, Load Balancers, Autoscaling, Cloud Watch,Lambda,EMR,MSK(Kafka),ECS,AWS Glue,AWS Quick Sight
Cloud Providers: Amazon Web Services
Operating Systems: Redhat Enterprise Linux 6,7, Unix
Monitoring Tools: Data dog,Dynatrace
Build Tools: Maven, Jenkins, Harness, Team City
Source Code Management: Git, GitHub
DevOps Tools: Jenkins, Docker, Kubernetes, Terraform
Certification
AWS Certified Solution Architect - Associate Certificate
Timeline
AWS Certified Solution Architect - Associate Certificate
11-2028
Project: United Airlines –EGY Data Platform
United Airlines
04.2025 - Current
Project: United Airlines – DVR
United Airlines
02.2025 - 04.2025
Project: United Airlines – Weight & Balance
United Airlines
05.2023 - 02.2025
Project: Supply Chain Portal (LMG)
Supply Chain Portal (LMG)
03.2020 - 04.2023
Project: Unified Data Management -1knot9 innovations private limited
Unified Data Management -1knot9 innovations private limited
08.2017 - 02.2020