I am an experienced DevOps Engineer with a strong background in Linux systems, AWS cloud infrastructure, and OS-level optimization. I specialize in automating deployment processes using CI/CD pipelines and have expertise in programming with Python and Go. My focus is on building scalable, efficient systems that deliver high performance and reliability across various environments.
• Managed Kafka as a service, focusing on performance optimization, cost savings, and operational efficiency across more than 120 Kafk...
• Managed Kafka as a service, focusing on performance optimization, cost savings, and operational efficiency across more than 120 Kafka clusters in production.
• Led a major architecture migration from x86_64 to ARM, resulting in significant cost savings and performance improvements, particularly in CPU utilization and power efficiency.
• Developed complex solutions in Go, with a strong emphasis on concurrency, goroutines, and scalability, to meet the demands of high-throughput data processing.
• Collaborated on company-wide cost-saving initiatives, working closely with cross-functional teams to identify and implement resource optimization strategies.
• Fine-tuned memory and CPU usage, and improved disk I/O performance by leveraging technologies such as ZFS, BTRFS, and advanced compression techniques, significantly enhancing system throughput and reducing latency.
• Mentored team members in Kafka, Go, and DevOps best practices, fostering a culture of continuous learning and improvement within the engineering team.
• Proactively resolved critical system issues, ensuring high availability and stability of Kafka services across the organization.
•Educated clients on optimal Kafka usage, driving adoption of best practices, and contributed to the Kafka open-source community by sharing innovations and participating in key projects.
• Developed microservices using CloudFormation, Asgard, Eureka, Prana, and Cassandra.
• Automated manual processes and enhanced CI...
• Developed microservices using CloudFormation, Asgard, Eureka, Prana, and Cassandra.
• Automated manual processes and enhanced CI/CD pipelines with GitHub and immutable images.
• Managed Kafka and Cassandra clusters, including production updates and rolling replacements.
• Conducted cost analysis and optimized performance using ZFS and compression techniques.
• Developed automation tools in Python to streamline operations.
• Managed and optimized AWS resources to resolve performance issues and enhance efficiency for customers, including high-profile clien...
• Managed and optimized AWS resources to resolve performance issues and enhance efficiency for customers, including high-profile clients such as Netflix and Samsung, addressing challenges in complex infrastructure environments.
• Led a CloudWatch project aimed at cost savings by identifying unused resources within AWS accounts, enabling reporting and automated actions to optimize resource utilization.
• Collaborated on the development of automation scripts for resource provisioning and configuration management, streamlining operations and reducing manual intervention.
• Conducted in-depth investigations into network and compute issues, including troubleshooting MTU, dropped packets, TCP Maximum Segment Size (MSS) issues, and other critical network performance bottlenecks.
• Demonstrated extensive knowledge of AWS technologies by providing expert support across various services, ensuring high availability and performance for mission-critical applications.