Shyam Irava

• Managed AWS infrastructure and CI/CD pipelines using Bitbucket and Bamboo, ensuring automated deployments and version control workflows.
• Developed and maintained Databricks ETL pipelines for large-scale data processing, optimizing performance and scalability.
• Built Power BI dashboards and Python scripts for reporting, operational metrics, and workflow automation.
• Monitored API health, system performance, and operational activities with alerting and logging for proactive issue detection and provided on-call support during Indian business hours.
• Implemented Python scripts to streamline repetitive tasks and routine email reports where automation was practical.
• Conducted data quality checks, compliance validations, and workflow optimization to ensure secure, reliable, and efficient operations.

BMW Teleservices

• Led delivery of microservices, managing L3 infrastructure and sprint-based deployments to meet KPIs.
• Bridged Operations and Development teams, implementing process improvements for smooth operations.
• Mentored team members on DevOps practices and application management for operational efficiency.
• Participated in management meetings to address challenges and implement process enhancements.

Flytta Logistics

• Built AWS infrastructure using CloudFormation, Elastic Beanstalk, API Gateway, Lambda, and MongoDB clusters.
• Automated daily and recurring tasks with Python and Bash scripts.
• Implemented CI/CD pipelines and deployments for application stability and environment consistency.
• Monitored APIs, system health, and performance metrics with proactive alerts.
• Optimized infrastructure and processes to improve reliability, fault tolerance, and performance.
• Coordinated with RPA teams to streamline operational workflows and reduce manual effort.

• Worked in Agile sprints to design and enhance CI/CD pipelines, supporting development and operations during releases, hotfixes, and deployments.
• Managed GitLab repositories, user access, code backups, and branch management; performed biweekly restoration dry runs for disaster recovery.
• Built and maintained containers using Docker and Elastic Kubernetes Service, including deployment, service, and ingress configurations.
• Configured Jenkins for CI/CD deployments, and automated operational tasks using Bash scripting for daily workflows.
• Monitored infrastructure and applications using CloudWatch, S3 for logs, and ECR for container storage, implementing alerts for deviations.
• Used Terraform for infrastructure provisioning, maintained MongoDB clusters, optimized application performance, and coordinated with internal automation teams.

• Provisioned and configured Linux servers, managed OS patching, firmware upgrades, network bonding, and disaster recovery/high availability testing.
• Set up and maintained GitLab repositories with project/user management, MFA-based access, folder structures, and periodic backups.
• Built HAProxy clusters, Nginx and Tomcat setups for microservices, and configured NFS/Rsync for centralized logs and image sync.
• Managed Jenkins CI/CD pipelines integrating Maven, Gradle, Node.js, and SonarQube.
• Administered MySQL clusters with primary/secondary replication, multi-source channels, backups, and daily maintenance of tables, indexes, views, and stored procedures.
• Automated operational tasks and database workflows using Bash and Ansible; implemented Nagios monitoring and security configurations to ensure system stability.

• Managed VMware ESX hosts, provisioned servers, and installed Red Hat Linux 5.x/6.x for development and test environments.
• Configured network bonding, LVM volumes, file systems, and NFS/FTP servers for centralized access.
• Web-hosted applications and deployed J2EE services in IBM WebSphere Application Server using rolling deployments.
• Performed end-to-end OS patching, firmware upgrades, and system maintenance for production stability.
• Automated operational tasks and software package management using Shell scripts, YUM, and RPM repositories.
• Monitored system performance and server health using Linux monitoring tools; troubleshot hardware and OS issues.