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Chen Yi Email & Phone Number

DevOps Engineer at Insight Data Science
Location: Harrison, New Jersey, United States 6 work roles 1 school
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Current company
Role
DevOps Engineer
Location
Harrison, New Jersey, United States

Who is Chen Yi? Overview

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Quick answer

Chen Yi is listed as DevOps Engineer at Insight Data Science, based in Harrison, New Jersey, United States. AeroLeads shows a matched LinkedIn profile for Chen Yi.

Chen Yi previously worked as DevOps fellow at Insight Data Science and Graduate Research Assistant at New Jersey Institute Of Technology. Chen Yi holds Doctor Of Philosophy - Phd, Electrical Engineering from New Jersey Institute Of Technology.

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Email format at Insight Data Science

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Insight Data Science

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Profile bio

About Chen Yi

Engineer experienced in full stack web application developing and key DevOps technologies including testing, automation, and CI/CD pipelines, and tools such as Docker, Kubernetes, Terraform, Ansible, etc. Wide-ranging experience in deploying, debugging, and managing systems in cloud environments. With solid experience in Machine Learning model and Data Engineering. Over 5 years of MATLAB scripts, Python/C programming, Linux Bash/Shell work experience. Good problem solving, effective communication and fast learning ability to learn emerging technologies.

Listed skills include Prometheus, Aws Cloudformation, 数据分析, 团队合作, and 30 others.

Current workplace

Chen Yi's current company

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Insight Data Science
Insight Data Science
DevOps Engineer
AeroLeads page
6 roles

Chen Yi work experience

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Devops Engineer

Current

San Francisco, Ca, Us

● Collaborated with data scientists to provide a reliable continuous updating ML model forecasting service to end-users. github.com/cy235/CICD_ML_AWS● Used Terraform to build development, staging, and production environments with AWS EC2s in AWS VPC cloud. Built a CI/CD infrastructure to automatically build, test, and deliver/deploy the ML model. ● Automated continuous integration processes with CircleCI including unit test, source code test, QA test, and failure notifications. Continuously deployed the ML model into AWS EC2 servers with a blue/green deployment strategy (by employing the auto-scaling scheme and a load balancer). ● Managed GitHub repositories and permissions, including branching, merging, and tagging.● Eliminated 80% of the manual work of the data scientist, reduced human error, mitigated the risk of new features in production, and achieved zero-downtime deployment.

Jan 2020 - Present

Graduate Research Assistant

Newark, Nj, Us

● Collaborated with developers to build a CI/CD pipeline with Jenkins and Ansible to continuously integrate a web application image and delivered it into the Docker Hub, then continuously deployed this application at scale into the Kubernetes cluster with high availability and reliability. Actively monitor the application service using Prometheus and Grafana. github.com/cy235/Jenkins_K8S_Grafana● Developed a full stack social media web application with Django framework with Python, HTML, JavaScript, CSS, Bootstrap. Performed version control with the GIT. Deployed the web application into the AWS EC2. github.com/cy235/SocialApp | www.starsocial.club ● Developed a real practical ticket ordering web application consisting of 6 microservices built with React, Node, Express, and MongoDB, leveraged Github Actions to continuously integrate, test and deliver microservice images into the Docker Hub, then continuously deploy them into the Kubernetes cluster with high availability. github.com/cy235/ticketing● Wrote Ansible Playbooks and shell script to deploy, configure, and manage servers, reducing deployment times from 5+ hours to less than 2 minutes. ● Worked with colleges to deploy a scalable and highly available PostgreSQL database on Amazon Elastic Kubernetes Service (EKS) using Kubernetes persistent volumes. github.com/cy235/PostgreSQL_EKS● Instructed the students with hands-on practice to provision a MongoDB sharded on-premise cluster with Ansible in Centos in an easy-understanding way github.com/cy235/Ansible_MongoDB_Cluster● Built an ETL (extract, transform, load) pipeline that extracts the data from the buckets hosted on S3, processes them using Spark which will be deployed on an EMR cluster using AWS, and loads the data back into S3 as a set of dimensional tables in parquet format. ​github.com/cy235/DE_AWS_S3_Spark

Aug 2014 - Jan 2020
1 education record

Chen Yi education

  • New Jersey Institute Of Technology
    New Jersey Institute Of Technology
    Electrical Engineering
FAQ

Frequently asked questions about Chen Yi

Quick answers generated from the profile data available on this page.

What company does Chen Yi work for?

Chen Yi works for Insight Data Science.

What is Chen Yi's role at Insight Data Science?

Chen Yi is listed as DevOps Engineer at Insight Data Science.

Where is Chen Yi based?

Chen Yi is based in Harrison, New Jersey, United States while working with Insight Data Science.

What companies has Chen Yi worked for?

Chen Yi has worked for Insight Data Science, New Jersey Institute Of Technology, Chongqing University Of Post And Telecommunications, Rainbow Department Store Co., Ltd., and Shandong University.

How can I contact Chen Yi?

You can use AeroLeads to view verified contact signals for Chen Yi at Insight Data Science, including work email, phone, and LinkedIn data when available.

What schools did Chen Yi attend?

Chen Yi holds Doctor Of Philosophy - Phd, Electrical Engineering from New Jersey Institute Of Technology.

What skills is Chen Yi known for?

Chen Yi is listed with skills including Prometheus, Aws Cloudformation, 数据分析, 团队合作, Git, Linux, C, and Circleci.

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