🌟 DataOps | DevOps | AWS Specialist 🌟I am a skilled professional in cloud computing, virtualization, and microservices, with hands-on expertise in driving innovative solutions through DevOps practices and AWS services.🔹 Real-Time Data Solutions: Successfully implemented Kafka for real-time data streaming, enhancing data processing and integration across distributed systems.🔹 Data Analytics Enhancements: Leveraged Redshift Spectrum to query data directly from S3, significantly improving data analysis capabilities while reducing ETL overhead.🔹 Seamless Data Ingestion: Configured AWS Data Firehose for efficient data ingestion and transformation, facilitating real-time analytics and storage solutions.🔹 CI/CD Management: Managed CI/CD pipelines, optimized GitLab workflows, and conducted team training on best practices, ensuring streamlined development and deployment processes.🔹 High Availability Management: Oversaw RDS instances for high availability, automated backups, and performance tuning in cloud applications.🔹 Infrastructure Automation: Developed Infrastructure as Code with Terraform, automating resource provisioning and simplifying deployments across environments.🔹 Containerization and Orchestration: Designed and maintained Docker containers for consistent application deployment, and orchestrated containerized applications using Kubernetes for enhanced reliability and performance.🔹 Monitoring and Insights: Set up Grafana dashboards and utilized Prometheus for system monitoring and alerting, ensuring proactive responses to performance issues and maintaining optimal system health.

Proficient in designing, deploying, and effectively managing Kubernetes clusters for containerized applications, facilitating seamless scaling and orchestration.Experienced in setting up and managing CI/CD pipelines using Jenkins. This includes automating the building,Implementing Argo CD to automate and simplify continuous delivery pipelines.Designing robust GitOps workflows to enhance application and infrastructure management. testing, and deployment of applications, resulting in faster development cycles and improved software quality.Demonstrated proficiency in implementing Infrastructure as Code practices using Terraform. This ensures consistent and automated provisioning of cloud resources, enabling efficient infrastructure management.Proven ability in designing and implementing highly available and fault-tolerant architectures on Amazon Web Services (AWS). I leverage core AWS services such as EC2, VPC, S3, and EKS to create robust cloud solutions.Skilled in scripting languages like Python and Bash for automation, resulting in streamlined operations and improved overall efficiency.Proficient in containerization with Docker, including container creation, management, and orchestration. I leverage Docker to ensure consistent and portable application deployments across different environmentsMy experience includes planning and estimating cluster capacity and developing deployment roadmaps for Hadoop clusters. I have successfully delivered production-ready data warehouses using technologies like Hive, configuring remote Metastore, and performing data migration between clusters.Expertise in data integration, including loading data into Hadoop clusters from dynamically-generated files using Kafka with Streamsets and from relational databases using Sqoop.

*As a Hadoop Associate with expertise in Amazon Web Services (AWS), Cloudera Manager, and Hadoop,* I have extensive experience in the administration, modification, deployment, and maintenance of Hadoop production clusters in AWS cloud. *I have gained implementation experience in configuring and tuning various components such as HDFS, Spark, Zookeeper, Yarn, Map Reduce, Hive, Oozie, SQL, and Cloudera Manager.* I am skilled in configuring and managing High Availability (HA) for services like HDFS and Resource Manager, commissioning and decommissioning nodes, creating snapshots for data loss prevention, and adding or removing services.* Additionally, I have experience in service ticket management, cluster monitoring, troubleshooting, and security patching. *I actively work with senior administrators for cluster maintenance activities, take care of day-to-day running of clusters, manage Hadoop log files, set replication for files and quotas for directories, and set up alerts using CM webUI.