Cloud Architect Azure Devops
Resume:
JOSIE NGUM
Pittsburg, PA 412-***-**** ********@*****.*** www.linkedin.com/in/josiendumu/
Professional Summary
Dedicated and experienced cloud computing professional seeking the position of Cloud Architect. Skilled in designing, implementing, and maintaining scalable cloud environments, with a strong commitment to operational safety and efficiency.
Professional Experience
Solution Cloud Architect DVConsult 12 2019 - 11 2023
Led Azure-based cloud architecture initiatives, delivering scalable and cost-efficient solutions.
Facilitated the adoption of Azure cloud services across various departments.
Collaborated with stakeholders to tailor cloud solutions meeting specific organizational needs.
Key Projects as Azure Architect
Project Title
Description
Tools Used
Technologies Used
Outcome
Azure Cloud Migration
Led the migration of on-premises infrastructure to Azure, focusing on seamless integration and minimal downtime.
Azure Migrate, PowerShell, Azure Monitor
Azure VM, Azure Site Recovery, Azure SQL Database
Achieved a 30% reduction in infrastructure costs and enhanced system scalability.
Azure DevOps Implementation
Developed and implemented a CI/CD pipeline using Azure DevOps, improving deployment processes and collaboration.
Azure DevOps, Git
Azure Kubernetes Service, Docker, Terraform, ARM
Enhanced deployment frequency by 40%, improving team productivity and agility.
Enterprise Security Solution
Designed and deployed a comprehensive security framework on Azure, addressing key security and compliance requirements.
Azure Policy, Azure Security Center, Sentinel
Azure Active Directory, Azure Firewall, Azure Key Vault
Strengthened security posture, successfully passed compliance audits with zero critical findings.
Cloud Architect DevOps Engineer: Mayo Clinic 2 2018 – 12 2019
Led the development and maintenance of cost-efficient, scalable public cloud environments.
Provided hands-on technical coaching to accelerate public cloud learning across teams.
Created and executed a comprehensive cloud strategy, managing adaptation processes.
Designed and maintained internal cloud applications, incorporating stakeholder feedback.
Successfully transferred data and internal processes to a cloud architecture.
Key Projects
Project Title
Description
Technologies Used
Outcome
Cloud Migration & Optimization
Led the migration of enterprise data to AWS, optimizing for cost and performance.
AWS, Terraform, Python, CloudFormation
Reduced operational costs by 20%, improved system reliability.
CI/CD Pipeline Development
Developed and deployed CI/CD pipelines for agile software deployment.
Code Pipeline, Docker, Kubernetes
Enhanced deployment efficiency by 35%, reducing time-to-market.
Disaster Recovery Planning
Implemented and tested disaster recovery strategies for critical cloud services.
Azure, CloudEndure, SQL
Ensured 99.9% uptime and quick recovery in the event of outages.
Machine Learning engineer Data Science 1 2017 – 1 2018
America Red Cross
Spearheaded end-to-end development of sophisticated machine learning and data engineering pipelines, utilizing Python frameworks including Django and Flask, Spark, Hive, and the big data stack.
Applied advanced ML frameworks like Keras and libraries such as scikit-learn for precise model development, statistical analysis, and fine-tuning, achieving optimal model performance.
Directed model lifecycle management through platforms like MLflow and GraphQL, ensuring seamless deployment, robust monitoring, and efficient management.
Executed sophisticated feature engineering techniques to elevate model performance, collaborating with domain experts to extract actionable insights from data.
Collaborated with multidisciplinary teams to design and implement impactful machine learning solutions, enhancing operational efficiency and enriching customer experiences.
Key Projects
Project Title
Objective
Role
Technologies Used
Outcome
Predictive Analytics for Patient Readmissions
Develop a model to predict hospital readmissions for patients with chronic illnesses.
Led the data analysis and model development team.
Python, R, SQL, Scikit-Learn, TensorFlow
Achieved an 80% accuracy rate in predicting readmissions, aiding in targeted patient care and reducing hospital readmission rates by 20%.
AI-Driven Diagnostic Tool for Early Disease Detection
Create an AI tool to assist in early detection of diseases such as diabetes and cardiovascular conditions.
Headed the machine learning and data integration efforts.
Python, PyTorch, MATLAB, Electronic Health Records (EHR) data
Successfully developed a tool that improved early detection rates by 30%, significantly aiding in timely treatment and patient care optimization.
Hadoop Developer HCC Insurance Holdings, Inc Houston TX 07 2014 – 5 2017
Involved in implementation of Hadoop Cluster and Hive for Development and Test Environment.
Analyzed the data as per the business requirements using Hive queries. Used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive. Installed and configured Hadoop MapReduce, HDFS and Developed MapReduce jobs in Java for data preprocessing.
Education
Bachelor of Science in Mathematics and Computer Science
University of Yaounde, Cameroon
Graduated: 2000
Certifications
www.credly.com/users/josephine-ndumu/badges
Microsoft Certified: Azure Security Engineer Associate
Credential ID: FE532CF07A4C21CA
Certification number: X93530-E9C8F6
Technical Skills
Public Cloud Platforms: Azure, AWS
Cloud Services: Compute, Storage, Networking, Databases, IAM, Virtual Machines
Networking: BGP, OSPF, VPC, Subnets, VPN, ExpressRoute, Direct Connect.
Databases: Azure SQL Database, Amazon RDS, AWS Aurora, Azure Cosmos DB
Storage Services: Azure Storage, AWS S3, Azure Cosmos DB, AWS Dynamo DB
Security & Compliance: CI/CD, Encryption, Firewall Rules, HIPAA, GDPR
Automation & Orchestration: Terraform, Ansible, PowerShell, Python
Version Control: GitHub, Azure DevOps, Jupyter, Git, AWS, Docker, Matplotlib
Monitoring & Logging: Azure Monitor, AWS CloudWatch, Google Cloud Monitoring
Containers & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS)
DevOps Tools: Azure DevOps, AWS CodePipeline, Jenkins, Pandas, NumPy,
Scripting: PowerShell, Python, Bash,SQL, R, Pytorch,Tensorflow, Scikit-Learn
Collaboration: Cross-functional Team Leadership, Project Management, Technical Documentation, good management and problem-solving skills
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