As a Platform Engineer at Cloudaeon Technologies, I have contributed to multiple key projects, specializing in integrating DevOps tools and managing large-scale cloud and Hadoop environments. My responsibilities include: Project Prophecy-M&S: Integrated low-code data engineering tools with DevOps pipelines, ensuring seamless deployments and robust automation. Cloudera SaaS Support: Provided platform support for 10+ SaaS customers, managing the configuration, administration, and optimization of Hadoop clusters (CDP 7.2.15) in cloud environments.Key Achievements: Databricks & Airflow: Deployed and administrated Databricks workspaces and Airflow on Azure, enhancing data processing and workflow automation. CI/CD Pipelines: Implemented and maintained CI/CD pipelines using GitHub Actions, streamlining the development lifecycle. Kubernetes Operations: Managed Kubernetes pod operations for log analysis and troubleshooting, improving system reliability. Cloud Operations: Handled cloud services like EC2, S3, IAM, Azure VMs, and Storage, ensuring efficient resource management and operational continuity. Hadoop Management: Oversaw the deployment, monitoring, and optimization of Hadoop clusters, including services like Hive, Impala, HDFS, and YARN. Terraform: Provisioned cloud resources on AWS using Terraform, facilitating infrastructure as code practices.Technologies and Tools: Cloud Platforms: Azure, AWS, GCP DevOps Tools: GitHub, Jenkins, Docker, Kubernetes, Terraform Data Engineering: Hadoop, Databricks Monitoring & Operations: Salesforce, Jira, Confluence

At Accelya Solutions, I was responsible for the administration and management of Linux servers for multiple airlines, ensuring the smooth operation of their critical revenue management systems. My key responsibilities included: Linux Server Administration: Managed the creation, configuration, and maintenance of Linux servers on both virtual machines and cloud platforms (AWS). System Security: Implemented OS hardening, security patches, and upgrades to maintain server security and compliance with organizational requirements. Infrastructure Support: Collaborated with database and network teams to support infrastructure and managed hosting, ensuring 24/7 uptime for approximately 300 Linux servers. Hadoop Environment: Supported Hadoop environments for in-house analytics, configuring and troubleshooting Hadoop clusters and related services Automation and Scripting: Developed shell scripts for automating repetitive tasks, improving operational efficiency and reducing manual effort.Key Achievements: Service Configuration: Configured essential services like Samba, NFS, log rotations, and cron jobs, contributing to the reliability and performance of the Linux infrastructure. Issue Resolution: Troubleshot and resolved cluster and server issues, ensuring minimal downtime and maximum availability for critical airline applications. Data Management: Handled LVM partitioning, disk space management, and user quota management, optimizing resource utilization. Security and Compliance: Conducted vulnerability assessments and implemented fixes, meeting audit requirements and enhancing system security. Collaboration and Coordination: Coordinated with vendors and other teams for critical issue resolution, ensuring seamless operations and support.Technologies and Tools: Compute Platforms: AWS, VM Ware Linux Administration: Red Hat, CentOS Distributed computing Monitoring & Operations: Manage Engine, Site 24x7

PayTM - Alibaba Linux server and data centre administration.

Unix based operations, Log backups, SQL queries, Apex file upload, File System, Operations, etc.