Sandesh Gowda Shirgavara Ganesha

Master's

Computer Science

MapleLabs Solutions

Associate Software Engineer

- Project 1 - Coded Python script for encrypting log data and to seamlessly transfer it to AWS S3 Deep Glacier Archival using BOTO3 module - Converted log data into interactive visualizations using Kibana, resulting in a 25% increase in client satisfaction with data driven - Developed Docker images and deployed them as pods in Kubernetes cluster to increase overall system scalability by 19 - Devised and executed a strategic plan to integrate Apache Kafka with the existing AWS SQS infrastructure, resulting in 0 message - Conducted an in-depth analysis of Go-Lang codebase, identifying and resolving a critical bug that improved overall code quality by - 20 - Worked with basic PostgreSQL queries to maintain the heartbeat and logs of the infra pipeline - Project 2 - Developed Terraform scripts with AWS vpc, subnets, internet gateway to deploy a multi-region and multi-AZ EC2 instance in Dev and Prod environment - Implemented AWS App-Mesh to streamline microservices communication, resulting in a 40% latency reduction and enhanced system - Integrated Datadog to monitor Kubernetes resource utilization - Calculated and reduced infra cost by 6% by limiting the threshold on Kubernetes resources - Integrated Pager-Duty with Datadog to generate alerts mails and calls when Kubernetes resource usage is exceeded - Assessed the pros and cons of CircleCI and Jenkins, transitioning the project from CircleCI to Jenkins and completing the migration - Evaluated and documented various Kubernetes resource optimization tools such as Granulate, Stormforge etc - Implemented Granulate in the dev environment to reduce CPU utilization by 7