DAFE OFOH
Red oak,USA
Summary
Here's a revised summary with a more AI-focused tone:
I am an adept DevOps Engineer with over a decade of experience, holding certifications as an AWS Certified Solutions Architect and Azure Solution Architect. My journey in technology has been driven by a fascination with artificial intelligence and its transformative potential. I specialize in crafting and orchestrating resilient infrastructures tailored to support the dynamic demands of AI-driven applications.
My expertise encompasses the intricate design, deployment, and scaling of infrastructure frameworks, facilitating the seamless operation of sophisticated AI systems. I excel in navigating the complexities of large-scale system architecture development, network design, and configuration, ensuring optimal performance and reliability.
Beyond technical prowess, I bring a diverse skill set in Agile Project Management, crafting bespoke web and mobile applications, developing E-commerce solutions, and delving into the realms of database programming and data science. My fluency in the Software Development Lifecycle (SDLC) empowers me to contribute effectively across all phases of project execution.
As a forward-thinking DevOps Engineer, I am committed to meticulous planning and innovation. A natural leader, I am well-versed in high availability architecture and cutting-edge concepts, poised to tackle new challenges in project planning and development.
Overview
9
9
years of professional experience
Work History
Senior DevOps Engineer
Shield.ai
Dallas, TX
03.2023 - Current
- Utilized Terraform for deploying infrastructure modules across Azure and AWS environments, ensuring consistency and scalability.
- Designed, developed, and managed critical infrastructure systems, services, tools, and automation supporting SaaS products.
- Automated data repository updates to enhance data quality and reporting, effectively managing large volumes of data across diverse environments.
- Troubleshot critical production issues escalated by DevOps teams, ensuring rapid resolution of errors.
- Optimized integration between SaaS software and infrastructure using tools like Databricks and Azure Data Factory ETL Pipeline.
- Led AI deployment initiatives, integrating machine learning models into production environments for real-time decision-making.
- Deployed Azure Machine Learning services and implemented network infrastructure for enhanced performance and security.
- Implemented release management CI/CD workflows for QA, UAT, and production environments, driving efficiency in the development process.
- Fostered communication and collaboration with product development teams and stakeholders, leveraging active listening and interpersonal skills.
- Applied best practices to maintain effective security standards across infrastructure and encouraged adherence among team members.
- Cooperated with project partners to conduct system analysis and design based on client specifications, utilizing Agile methodologies to accelerate development lifecycle.
Site Reliability Engineer
Sony
11.2020 - 03.2023
- Implemented and managed highly-available systems using Ansible for automation of deployment and configuration management
- Utilized Terraform to automate the provisioning of infrastructure on AWS, resulting in more efficient resource management and cost savings
- Led the implementation of monitoring and logging solutions using Prometheus, ELK stack and Cloudwatch
- Collaborated with development teams to ensure that the systems supported their needs and optimized the performance of the application
- Worked with security teams to ensure compliance with security standards
- Automated scaling of EC2 instances using CloudWatch and Ansible
- Implemented Chef for configuration management and automation of infrastructure deployments
- Utilized PowerShell for automation of Windows servers and services
- Led the implementation of infrastructure as code and configuration management best practices resulting in more efficient and consistent system deployments
- Led the implementation of automation solutions for multiple projects, resulting in a faster and more efficient deployment process
- Implemented disaster recovery solutions and procedures to ensure system availability during unexpected events
- Support daily operations including monitoring, troubleshooting, hardware configuration, patching, upgrades
- Configure the firewall and rules, statically and dynamically route IP traffic on the servers
- Configuration and administration of NFS and Samba in Linux
- Configuration and troubleshooting - LAN and TCP/IP issues
- Handling problems or requirements as per the ticket (Request Tracker) created.
DevOps Engineer
Enbridge
Houston, TX
03.2018 - 03.2020
- Implemented and maintained RESTful APIs using Django and Python
- Utilized Agile development methodologies, such as Scrum, to manage project timelines and deliverables
- Led the implementation of testing and documentation best practices, resulting in more efficient and consistent software deployments
- Collaborated with cross-functional teams to ensure that the software met the needs of the business and customers
- Worked with development teams to optimize the performance of the application
- Utilized Git for version control and code review
- Worked with multiple clients in different industries across a period of 5 years to develop and maintain software applications
- Led the implementation of new features and enhancements for multiple projects, resulting in a faster and more efficient development process.
Systems Engineer
Farenow
Dallas, TX
02.2015 - 02.2018
- Designed and orchestrated a Kubernetes cluster on AWS EKS utilizing Terraform to efficiently manage our microservices-based application
- Deployed the application onto the cluster with Helm charts, streamlining administration
- Leveraged Terraform to automate AWS infrastructure provisioning, encompassing Kubernetes cluster and worker nodes
- Established robust CI/CD pipelines through Jenkins and GitLab, integrating code quality and security tools like SonarQube
- Implemented comprehensive monitoring and logging via Prometheus, Grafana, and the ELK stack
- Collaborated closely with the development team to align infrastructure with their requirements and optimize application performance
- Ensured adherence to security standards by collaborating with the security team
- Introduced Azure Data Factory to facilitate data integration and movement from diverse sources, including SQL and MongoDB, to Azure Data Lake Storage
- Employed Databricks for significant data processing using Spark and machine learning model development and deployment
- Configured event-triggered and scheduled pipelines for Azure Data Factory and Databricks
- Implemented Docker for application containerization and utilized Ansible for automated deployment and configuration management
- Enabled auto-scaling for EC2 instances with CloudWatch and Ansible
- Leveraged Azure Data Explorer for advanced analytics and real-time data exploration
- Employed Elasticsearch for storing and indexing extensive datasets
- Accumulated a decade of experience collaborating with clients across various industries, providing infrastructure implementation, maintenance, and optimization
- Drove the implementation of CI/CD pipelines across multiple projects, resulting in expedited and more efficient deployment processes
- Deployed PowerBI to generate insightful reports on application performance and infrastructure utilization
- Automated deployment processes using Azure DevOps GitHub Actions.
Education
Bachelor of Science - Computer Engineering
Delta State University at Delta state
07.2012
Skills
- Cloud Platforms:AWS Certified Solutions Architect (Professional)
Microsoft Certified: DevOps Engineer Expert (AZ-400, AZ-300)
Azure services: VM, Databricks, Azure Data Factory (ADF), Azure SQL, Landing zone, Eventhub
- Containerization and Orchestration:Docker and Kubernetes
AWS services: EKS, ECS
Azure services: Kubernetes Service (AKS) - Continuous Integration/Continuous Deployment (CI/CD):Azure DevOps and Jenkins
Git, GitHub, GitLab
Scripting: Python, Terraform, Ansible
- Big Data and Messaging Systems:Databricks
RabbitMQ
AWS services: S3, RDS, Sagemaker, Redis - Monitoring and Visualization:Grafana
AWS CloudWatch
Azure Monitor - Cloud Web Applications: Azure App Services
AWS Lambda
Google Cloud Platform (GCP) App Engine
Source and Version Control: GitHub, Gitlab
Personal Information
Title: Site Reliability Engineer
Timeline
Senior DevOps Engineer
Shield.ai
03.2023 - Current
Site Reliability Engineer
Sony
11.2020 - 03.2023
DevOps Engineer
Enbridge
03.2018 - 03.2020
Systems Engineer
Farenow
02.2015 - 02.2018
Bachelor of Science - Computer Engineering
Delta State University at Delta state