SAISH NAIK

Leading the Flexera Cloud Cost Optimisation team of 8 members. Responsible for end to end delivery of the new Azure bill pipeline which reduced processing time by 40%. Developed a prototype and MVP for Azure MCA CSP bill consumption increasing stats visibility by 30%. Deployed Microservices Kubernetes cluster using Terraform on AWS EKS and Google Cloud for Azure bill pipeline to increase scalability of the system to 60%. Monitored the Azure bill pipeline system using Newrelic, Grafana and PagerDuty to reduce incidents by 20%. Created a test plan for the Azure bill pipeline which involved automated and manual testing, reducing the rollback percentage by half. Built and developed the whole cloud architecture of the new azure pipeline bill project from scratch. Successfully released the Azure bill pipeline to production with 0 downtime. Worked on technical backlog/debts such as go version update, newrelic integration etc increasing resilience and reliability of system by 50%. Conducted thorough code reviews making sure that the engineering of SOLID, YAGNI, Test Driven Development and others are always followed. Have one on ones and tech brainstorming sessions with junior developers to discuss latest technologies and resolve their queries. Supported both Restful and GRPC API with singular code using go grpc gateway reducing development effort by half. Introduced event driven architecture in microservices systems with RabbitMQ and Kafka reducing coupling by 30%.

Led the Telco domain development team and was a part of the architecture team during roadmap discussion. Golang, Postgres,MySQL(relational), Mongo(schema less) and ElasticSearch(ELK) were the major tools used in terms of language and database. Efficiently handled B2B client traffic increase from 0.5 million to 2 million and then from 2 million to 5 million by rigorously conducting performance tests and identifying bottlenecks. Integrated linting and automated testing into the CI/CD pipeline, increasing code quality and reducing bugs in production by 30%. Split legacy monoliths into microservices ensuring flexible scalability, independent development and deployment to Google Cloud and AWS Kubernetes cluster via Helm and Terraform thus decreasing time to market by at least 25%. Reduced the incident rate of subscription pipeline by 60% by introducing event driven architecture, resilience, fault tolerance and monitoring using golang, RabbitMQ, Kafka, New Relic and A/B testing. Developed observability, monitoring,logging and alerting systems and reduced mean time to resolution(MTTR) by 40% and improved system availability by 25% by using opsgenie, prometheus, grafana, newrelic and ELK stack. Designed and Implemented a fully automated ci/cd pipeline and reduced deployment time by 50% using Jenkins and bitbucket pipelines. Added auto recharge functionality to data add ons benefiting customers by removing the hassle of manual recharge and also increasing the overall revenue by 3x.

Migrated Real Time Bidder application from Node.js to golang increasing the qps by 6x. Split monolith into microservices architecture thus increasing scalability to serve 43 million requests per hour. Moved internal microservice communication from REST to gRPC thus improving performance by at least 20%. Added containerisation alongside Kubernetes thus improving availability of the system by 25%. Learned cassandra and used it as the traffic database to increase scalability and availability by 30%.

Built and managed CRM software for pharmaceutical companies reducing client tickets from 15 to 3 per day. Introduced what you see is what you get editor which helped in lowering formatting mistakes by 20%.