• Developed infrastructure as code (IaC) using Terraform and Ansible to automate provisioning and configuration management for Dataiku's Azure-hosted machine learning platform.• Provisioned and maintained Dataiku applications and their cloud counterparts, including Azure-hosted VMs, Kubernetes clusters, Azure SQL Databases, and VNets, ensuring optimal performance and reliability. • Designed and implemented CI/CD pipelines to deploy and configure resources in Azure, ensuring consistent and reproducible environments across deployments. • Implemented monitoring, logging, and alerting systems to guarantee uninterrupted operation of applications and services. • Applied security and compliance policies on the platform and established disaster recovery strategies to safeguard data and operations. • Managed multiple Dataiku platforms, enabling users to create, manage, and deploy AI models seamlessly. • Authored monitoring scripts leveraging Dataiku APIs to manage licenses effectively, contributing to significant cost savings in licensing. • Provided technical support by effectively resolving customer support tickets related to Dataiku environments and development needs.

• Developed and maintained advanced Shell scripts and Ansible code to address and patch vulnerabilities efficiently, ensuring system security and reliability. • Integrated automation scripts seamlessly into existing workflows and applications, enhancing operational efficiency and compatibility with other systems. • Created and optimized Ansible Tower job templates, reducing task completion time by 30% and allowing teams to focus on strategic priorities. • Designed and implemented CI/CD pipelines using Azure DevOps, automating build, test, and deployment processes through advanced pipeline configurations, including stages, jobs, and tasks. • Engineered and managed three Hadoop clusters consisting of 60 nodes and 2PB of data, achieving a 40% reduction in downtime incidents. • Installed, configured, and tuned Hadoop clusters with high availability (HA) Namenodes, balanced HDFS block data, and enabled TLS for secure communication. • Orchestrated the deployment of tools such as Airflow, Dataiku, Nifi, Prometheus, Grafana, and Zabbix, improving project delivery timelines by 30% and enhancing security monitoring capabilities. • Resolved platform-related vulnerabilities reported by the internal security team, ensuring compliance and mitigating risks effectively.

Technical Support Engineer | DevOps EngineerOrganization Overview :Talend is a leading data integration and data integrity company that offers a unified platform to ensure enterprise data is complete, clean, compliant, and readily accessible to everyone within an organization. Key Responsibilities : - Acted as the point of contact for client support tickets, troubleshooting and resolving issues to ensure client satisfaction and seamless application functionality. - Took on a dual role as a DevOps Engineer to replicate client environments in-house for diagnosing and resolving complex application functionality issues. - Trained freshers and new Linux users on the Linux environment, simplifying their onboarding process and enhancing their operational efficiency. - Collaborated with cross-functional teams to design and implement client-specific infrastructure setups, ensuring alignment with business requirements. Key Achievements : - Consistently appreciated by clients for resolving issues promptly, contributing to high customer satisfaction. - Recognized within the team for successfully implementing complex client-specific infrastructure in-house, enabling more effective problem-solving. - Played a pivotal role in fostering a learning environment by mentoring team members, thereby improving team productivity and technical expertise.

Infra Engineer | Hadoop Administrator | DevOps SpecialistProject Overview :Infosys Nia is an Artificial Intelligence platform designed to collect and aggregate organizational data from people, processes, and legacy systems into a self-learning knowledge base. It automates repetitive business and IT processes, enabling organizations to focus on higher-value customer challenges requiring creativity and innovation. Key Responsibilities :- Managed and maintained the entire Infosys Nia application, running on the open-source Hortonworks Big Data platform. - Designed and implemented automation scripts using Shell (extensively) and Python (minimally) for deploying the Hadoop ecosystem and the Nia application on Linux clusters. - Collaborated with the application development team to identify and resolve infrastructure-related bugs, ensuring seamless application performance. - Developed comprehensive upgrade module bundles using Shell and Python to update older product versions and open-source services to the latest releases, successfully deploying these updates across multiple client environments. - Partnered with the support team to troubleshoot and resolve platform-related issues in client clusters, ensuring system reliability and customer satisfaction. Key Achievements :- Awarded the Best Performer Award for successfully designing and implementing the upgrade bundle during a critical client deployment, ensuring smooth execution under tight deadlines.- Streamlined the deployment process, reducing manual effort and minimizing deployment time. - Successfully executed version upgrades for multiple clients, enhancing platform functionality and security. - Played a critical role in improving platform stability and addressing client-specific infrastructure challenges.