Driven DevOps engineer with a passion for automation. Years of experience in cloud computing, Python programming, data platforms, and implementing best practices in a software organization. Seeking a new environment to continue to grow and develop.
Overview
9
9
years of professional experience
Work History
Senior DevOps Engineer
KKR
02.2022 - Current
Enhanced system stability by implementing robust monitoring and alerting solutions
Reduced deployment times with the introduction of CI/CD pipelines for multiple projects.
Streamlined infrastructure management through automation using industry-leading tools such as Ansible, Kubernetes, Helm, and Terraform.
Collaborated with cross-functional teams to drive continuous improvement in the software delivery process.
Deployed and maintained multiple Kubernetes serivces such as External-Secrets, Kyverno, Ha-Proxy. Keal, and custom made operators.
DevOps Engineer
Schneider Electric
02.2020 - 02.2022
Lead the organization's DevOps initiative among multiple scrum teams
Developed ETL pipeline written in Python
Helped architected ETL pipelines using AWS, Databricks, and Airflow
Developed CI/CD pipeline for +100 pipelines using Jenkins
Deployed CI/CD pipeline for containers into Kubernetes
Managed and deployed various applications with Kubernetes and containers such as Airflow, Qlik Replicate, and Dash reporting webservices
Oversaw and implemented an organization upgrade of Airflow 1.0 to Airflow 2.0 with minimal downtime of a few minutes.
DevOps Engineer II
Permanent General Assurance Corporation
08.2017 - 02.2020
Supported legacy infrastructure as the Web Architect with Salt, Tomcat, Apache Server, Kubernetes, ELK stack, and a Netscaler
Supported AWS infrastructure as a DevOps Engineer with tools such as Terraform, Packer, and Elastic
Supported Data Science team as a DevOps Engineer with similar tools for EMR (Spark Cluster), Juypiter cluster, misc machine learning tools
Helped develop and deploy a rewritten CMS in node.js
Developed python scripts for automation pipelines
Helped develop Lambda functions in AWS written in Python
Assisted Data Science group to containerize Python applications.
Data Scientist
Noblis
10.2014 - 04.2017
Contributed to multiple Noblis Sponsored Research (NSR) projects and contracts
Learned multiple programming languages with little experience outside of academics
Worked on High Performance Computers including a Cray XMT-2
Utilized C programming with Python injects and to use for heavy lifting in multithreading and distributed programs
Started High School Development Program (teaching programming)
Developed programs in Python involving web scrapping, web deployment (backend), and high performance applications
Helped develop models and algorithms for image processing and cryptography.
Education
Bachelor of Science - Applied Mathematics in Life and Social Sciences
Arizona State University
Tempe, Arizona
08.2013
Skills
Kubernetes
CI/CD
Terraform
Ansible
Python
AWS
Helm
Timeline
Senior DevOps Engineer
KKR
02.2022 - Current
DevOps Engineer
Schneider Electric
02.2020 - 02.2022
DevOps Engineer II
Permanent General Assurance Corporation
08.2017 - 02.2020
Data Scientist
Noblis
10.2014 - 04.2017
Bachelor of Science - Applied Mathematics in Life and Social Sciences