Gourav Saini

Accomplished Sr. DevOps Engineer at Datansh Solution Pvt. Ltd., adept in Kubernetes and CI/CD automation. Enhanced cloud resource allocation, achieving significant cost reductions while ensuring robust security compliance. Proficient in AWS and Kubernetes, with strong collaboration skills to drive successful project outcomes and optimize infrastructure across AWS and GCP environments.

• Linux Fundamentals - ACloudGuru
• CKA - KodeKloud
• Ansible - Kodekloud

English, Hindi

Playing Guitar, Singing, Travalling

Object Recoginition App

• Developed and deployed a mobile application that allows users to upload, group, and manage images of their personal items.
• Implemented group-based chat, calendar integration, and image categorization features for enhanced collaboration and user engagement.
• Integrated AI-based metadata extraction using Gemini and ChatGPT APIs to automatically tag, describe, and index uploaded images.
• Set up the complete application stack on Kubernetes, enabling scalable deployments, rolling updates, and auto-recovery of services.
• Utilized Helm charts and GitOps workflows for streamlined and reproducible deployment pipelines.
• Managed CI/CD using tools like Jenkins/GitHub Actions, and configured Secrets, ConfigMaps, and Ingress for secure service management.
• Designed containerized microservices with Docker and implemented observability using Prometheus, Grafana, and ELK stack.
• Ensured secure and performant backend using API Gateway, JWT-based auth, and rate limiting policies.

Communication and Internet Services

• Designed and implemented infrastructure baselines using Terraform for onboarding new clients across QA, Dev, Stage, and Prod environments.
• Built environment-specific IaC modules to ensure consistency and scalability across multi-account AWS and GCP setups.
• Led DevOps efforts for Stage and Production deployments, ensuring robust security, monitoring, and rollback strategies.
• Managed end-to-end deployment pipelines for Java-based and Node.js-based microservices using Jenkins, GitHub Actions, and Helm.
• Orchestrated frontend and backend deployments, enabling efficient microservice rollouts using EKS, Cloud Run, and Elastic Beanstalk.
• Implemented centralized logging and monitoring solutions for AWS Lambda services using CloudWatch, ELK, and Datadog.
• Configured custom alerts and health checks via Prometheus, CloudWatch Alarms, PagerDuty, and Slack integrations, ensuring proactive incident response.
• Maintained high service availability by setting up auto-scaling, blue-green deployments, and continuous health monitoring.
• Worked closely with QA and development teams to validate infrastructure and deployment configurations before promoting to production.

Qlik Sense

• Deployed and configured Qlik Sense Enterprise on Windows Server with Active Directory domain integration for secure user authentication.
• Set up a multi-node Qlik cluster with load balancing rules and an Elastic Load Balancer (ELB) to manage traffic efficiently and ensure high availability.
• Defined and applied custom security rules to control data access and user roles for enhanced data governance.
• Managed the provisioning and activation of multiple license types for developers, analysts, and viewers.
• Implemented session management best practices to ensure secure, isolated, and scalable access for end-users.
• Configured developer environments to allow secure testing and visualization of dashboards before production deployment.
• Oversaw end-to-end administration of Qlik Sense including node management, data source configuration, and dashboard lifecycle.
• Ensured performance and reliability by monitoring system health and applying periodic updates and patches.

Sigview 

• Managed end-to-end data pipeline operations for terabyte-scale ingestion and query processing (daily, weekly, monthly).
• Handled raw data insertion, transformation, and optimization to support fast and efficient visualization.
• Coordinated and maintained multiple interdependent services, ensuring reliability and data integrity across the pipeline.
• Gained hands-on experience with large-scale data systems and complex ETL workflows in a high-load production environment.

• Always On Award