I ARAVIND

Project Name: Marriott Hotels

Book hotel stays across Marriott's global portfolio of brands. Explore destinations and find hotels by location, amenities, or special offers. Manage bookings, check in online, and access your account.

• Researched and resolved complex issues discovered during migrations from Existing architecture to AWS cloud environments.
• Developed a backend logic for Session Management, Data store with couchBase Db using Microservices restful API’s and Spring web flux.
• Performed advanced engineering in configuration, management and deployment during migration of OSE to Amazon Elastic Kubernetes Service (EKS).
• Worked with Akamai CDN team to address heavy traffic situation due to bot activity and proposed a Shape Security that uses AI and machine learning to prevent fraud on Marriott web application.
• Used Log4j to capture the log that includes runtime exception and for logging info and are helpful in debugging the issue.
• Implemented unit-testing and integration-testing for improving the code coverage based on client-prescribed timeframes.

• Designed and developed a Restful APIs for different modules in the project as per the requirement
• Implemented Jenkins pipeline when the code is pushed to Gitlab Jenkins file to trigger the build, overlay, and deploy the code
• Implemented to pull the docker image from our docker registry and then, running the containers above that image in AWS
• Implemented AWS policy to remove Elasticsearch Kibana logs indices periodically after 30 days automatically
• Migrated the infrastructure code in docker file to support the latest version of Java 11
• Implemented a log masking for customer PII data which is captured in the service logs
• Supported the performance and scalability issues in Customer Environment and System Migration
• Bug fixes
• Technology: Java 8, Spring Boot, Hibernate, Docker, Jenkins, AWS, Elasticsearch, Splunk, Nomad, Grafana, Terraform

• Designed and developed add an enhancement feature for already booked reservation using Spring Boot and Flapdoodle integration tests by In memory database (MongoDB) using Junit
• Migrating the products from Docker Swarm to Microsoft Azure Cloud
• Experienced in SonarQube to detect and fix the bugs, code smells and security hotspots and vulnerabilities to perform automatic reviews on code quality
• Excellence in maintaining orchestration of Microservices using Kubernetes and achieved the performance of Microservices by providing batch APIs
• Hands on experience in Mongo DB scripts using Robo3T
• Bug Fixing and Working on customer incidents
• Technology: Java, Spring MVC, Spring Boot, Docker, Azure Cloud

• Worked on transition team to process jobs in multiple servers rather than in a single server as a part of Exadata cloud migration wherein multiple servers feature developed using Spring Batch and supported to SIT, UAT and PROD environment
• Worked on module which extract multiple dimensions data (market, store, product) from upstream and processing it On-the-fly in cloud
• Have developed the code in Shell Scripting
• Worked in migration from SQL to PLSQL queries
• Worked on multiple performance initiates to increase the processing power in cloud
• Technology: JAVA, Spring, Hibernate, SQL, PL/SQL, Unix Shell Scripting and Python