Backend Development and NoSQL Database Management / Kubernetes and Helm Expertise :
- Designed, implemented, and maintained backend solutions using Couchbase, demonstrating proficiency in NoSQL database management. With continuous improvements in scalability , configuration , adaptability according to customer demands
- Collaborated with NFT teams to design, test, and validate specifications for Couchbase, ensuring High Availability across diverse Disaster Recovery scenarios.
- Orchestrated deployment and management of applications using Helm charts within Kubernetes, ensuring scalability, reliability, and efficiency. Day to Day work involves working with helm charts and Kubernetes resources for various backend services
Cloud-Based Backend Services Deployment
- Designing ,testing and developing use cases for deployment of backend services like couchbase , kafka , elasticsearch on aws & azure cloud platforms to be certified in production . Some experience working with managed services in Azure and AWS as well .
- Major work involves dealing with microservices and
PostgreSQL Integration with Kubernetes:
- Designed and implemented backup and restore solutions for postgres in kubertnetes by EDB, leveraging volume snapshots and Write-Ahead Log (WAL) archives for data resilience and recovery. Performed the adoption of postgres from new vendor from scratch
Active-Active Confluent Kafka Implementation:
- Led the deployment and configuration of an active-active Kafka implementation using Confluent Kafka with Kafka Cluster Linking. Conducted comprehensive testing, simulating diverse scenarios including primary and disaster recovery (DR) use cases to ensure high availability and fault tolerance.
Python and Linux Proficiency:
- Demonstrated expertise in Python programming and Linux system management for automating tasks and optimizing workflows.
DevOps and CI/CD Expertise:
- Possess intermediate to advanced knowledge in CI/CD pipelines and DevOps tools, including Jenkins, OpenShift Container Platform (OCP), Bitbucket, Kubernetes, and Docker.
- Actively contributed to streamlining deployment processes and improving system reliability through effective tool usage and automation strategies.