Vimal Patel

About Vimal Patel

15 years of overall experience working as technical lead, architect, subject matter experts and developer to deliver value to the business. Implementing and developing solutions enabling Development and Operations teams to build, deploy, monitor and test applications and environments. Experience in the design and implementation of fully automated Continuous Integration, Continuous Delivery, Continuous Deployment pipelines and Devops processes. Experience in AGILE Scrum environment based project development. In depth experience working on cloud computing Infrastructure. Experience in Big Data Analysis, Data management, Data migration, Data governance and handling data lake

Experience

1. Senior Devops Engineer

   Braze

   Dec 2020 — Present · NY, US

   Designed and automated CI/CD pipelines using Jenkins, GitHub Webhooks, Maven, Artifactory, and SonarQube for efficient build, test, artifact storage, and deployment processes. Extensive experience with AWS technologies, including EC2, S3, RDS, VPC, IAM, Lambda, CloudFormation, CloudWatch, and Route 53 for designing and managing cloud infrastructure. Leveraged Terraform and Ansible to provision and manage infrastructure efficiently across multiple environments. Experienced in deploying and managing AWS ALB Ingress Controller to streamline traffic routing and load balancing in Kubernetes environments. Worked on Prometheus clusters for metrics collection, ensuring reliability and scalability of monitoring systems for mission-critical applications. Maintained and configured Datadog agents for infrastructure and application monitoring, implementing best practices for performance tuning and alert management. Proficient in Python, Go, and Bash scripting for developing automation tools, streamlining workflows, and building scalable solutions to manage Elasticsearch and Redis clusters, including daily maintenance, troubleshooting, and operational tasks. Deployed and managed Logstash pipelines and Filebeat DaemonSets to enable log ingestion and forwarding across distributed systems. Architected and implemented a centralized Elasticsearch SIEM for the security team, including designing scalable solutions and integrating various log sources for enhanced threat detection. Developed a centralized Elasticsearch cluster for customer support logs, ensuring high availability, scalability, and efficient log retrieval. Designed and managed highly available Redis clusters, optimizing performance and reliability for critical systems. Worked on bare metal Kafka deployments and Kafka on Kubernetes, including designing, deploying, and scaling Kafka clusters to meet business needs.

Education

• Hemchandracharya North Gujarat University

  Bachelor of Engineering - BE

  2001 — 2005

• Lamar University

  Master of Science (MS)

  2006 — 2007

Skills

• Ansible
• Cascading
• Data Warehousing
• Apache Kafka
• Devops
• Informatica
• Hadoop
• Oracle
• Docker
• Amazon Web Services (Aws)
• Flume
• Jenkins
• Elasticsearch
• Agile Methodologies
• Elk
• Apache Spark
• Teradata
• Ab Initio