Arpit Shah
Senior Cloud Platform Engineer @RAVL
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WORK HISTORY
Senior Cloud Platform Engineer @RAVL
Toronto, CA
Help scope and scale different engineering activities for client delivery• Design technology solutions and write code at various levels of the technology stack• Troubleshoot and fix code written by the team• Support the Principal Engineer with implementation and the delivery of technical solutions• Work 1-to-1 with the designated Associate Engineer to support them in their delivery and career progression• Identify and remove obstacles for the Associate Engineer• Continuously improve both the delivered client software, RAVL BuildX model, and your own capabilities.
EDUCATION
G.H.patel college of Engineering and Technology
Bachelor of Engineering in Information Technology, Information Technology
ABOUT ARPIT SHAH
Experienced DevOps Engineer with 8+ years of supporting high availability 24x7 production environment, automating, and optimizing mission critical deployments in AWS with help of Linux and Python scripting, leveraging configuration management, CI/CD, and DevOps processes.Technical Skills• Cloud Platforms: Amazon web services, Microsoft Azure• Experienced in Amazon Web Services like EC2, S3, DynamoDB, IAM, SES, SNS, EMR, ECS, ELB, Route53, RDS, Auto Scaling, Athena, CloudWatch, and Cloud trail. AWS Lambda with Python for serverless architecture• Experienced in Azure Cloud Services like Azure Linux / Windows virtual machines for deployment, Azure serverless Functions, Azure Cosmos DB, Azure Stream Analytics, IoT hub, Event Hub, Service Bus, SendGrid, PowerBI• Monitoring: Icinga2, Grafana, Zabbix, CloudWatch, Datadog, Kibana• Scripting: Python, Shell/Bash Scripting• CI/CD: Jenkins• Containerization: Docker, Kubernetes• Orchestration: Ansible, Terraform, CloudFormation• Database: MYSQL, DynamoDB, Cosmos DB, MongoDB, PostgreSQL, Cassandra• Web Server: Tomcat, Apache, Nginx• Ticketing: Salesforce, JIRA• Version Control: Bitbucket, GitHub, SVN• Code Quality: SonarQube• Repository Management: Nexus, PyPI• Log Management: Elasticsearch, Logstash• Data Streaming: Apache Kafka, AWS Kinesis• OS: Linux
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