Cloud Engineer - Nigma Tech - EMEA
(2025-11)
A tech-driven ERP consultancy specializing in ERPNext and other open-source ERP solutions for SMEs and enterprises. We help businesses transform their operations, reduce costs, and improve decision-making through tailored, scalable, and secure ERP systems.
- Architecting and deploying cloud infrastructure using infrastructure as code (IaC) tools such as Terraform.
- Designing secure cloud environments, including networking, identity and access management (IAM), encryption, and compliance control.
- Engineered high-availability cloud solutions, implementing load balancing and auto-scaling, resulting in a 30% reduction in downtime within 6 months.
- Automated infrastructure provisioning and application delivery processes, leading to a streamlined workflow and increased collaboration among teams.
Project Manager - Smartway Real Estate - Edmonton, Canada
(2023-01)
- Ensure compliance with the city building codes, zoning regulations, and other legal requirements.
- Develop financial models using spreadsheet software Google Sheets to forecast project revenues, expenses, and cash flows.
- Customize distributed reports to present project data in a visually appealing and understandable format for stakeholders and senior management.
- Obtain the necessary permits and approvals from regulatory authorities to proceed with construction activities.
- Address stakeholder concerns and inquiries in a timely and professional manner to maintain positive relationships.
- Develop project schedules and timelines, setting clear milestones and deadlines with the use of project management software like Asana.
- Communicate with stakeholders using collaboration tools like Microsoft Teams or Zoom for virtual meetings and discussions.
Cloud & DevOps Engineer Intern - AltSchool Africa - Austin, Texas
(2024-01 - 2025-01)
- Provisioned secure cloud infrastructure on AWS using Terraform, including VPCs, subnets, routing, security groups, EC2 instances, and IAM roles.
- Deployed a full web application on a Kubernetes cluster (EKS) running inside a custom AWS VPC, ensuring high availability and scalable architecture, and Monitored using CloudWatch.
- Containerized application components using Docker, created Kubernetes manifests (Deployments, Services, Ingress), and automated cluster updates.
- Integrated CI/CD pipelines using GitHub Actions to automate testing, building, and deployment of application services.
- Performed system administration and troubleshooting on Linux environments, optimizing performance, permissions, and network configurations.
- Completed Bash scripts to automate routine DevOps tasks including server setup, log rotation, backups, and deployment workflows.
- Using GitHub as primary version control, and collaborated with engineering teams to enhance reliability, scalability, and cost efficiency of cloud resources.
Lead Data Analyst & IT Support - Silhouette - Port Harcourt, Rivers
(2021-01 - 2023-01)
- Designed Data Models and Architecture using tools like Microsoft Excel and SQL, to solve business problems through data analytics.
- Analyzed sales record and creating new schema, for better visualizations and report, using tools like (Tableau, Power BI).
- Responding to customers complaints and proffering quick innovative solutions using various communication tools.
- Documented technical issues, solutions, and procedures to streamline future troubleshooting and improve team efficiency.
- Worked with CRM (Customer Relationship Management) platforms like Salesforce.
- Provided remote and on-site support, ensuring timely solution to customer's technical issues and excellent customer service.
- Diagnosed and troubleshot system errors, connectivity problems, and application malfunctions to minimize downtime.
Data Science Intern - ExploreAI - Johannesburg, SA
(2021-01 - 2022-01)
- Participated in team collaborative meetings to brainstorm data-driven solutions, offering creative ideas and contributing to project discussions, and making code contributions using git as version control, and agile project management technique
- Assisted the data science team in collecting data, cleaning, and preprocessing large datasets, loading them into databases like Postgres, AWS S3, to prepare them for analysis, using Pandas and NumPy libraries, and data visualization tools
- Building Recommendations systems to recommend movies to users, with tools like scikit-learn, and got an accuracy of 0.89
- Carried out exploratory data analysis (EDA) to identify trends, patterns, and anomalies, providing valuable insights for decision-making
- Utilized programming languages such as Python and R to write scripts and automate repetitive data processing tasks
- Worked with relational database like Google BigQuery, applied data mining techniques and statistical methods, used natural language processing in building machine learning models, neural networks and AI
