I am highly motivated collaborator and problem-solver, seeking to leverage my expertise of deployment of cloud applications alongside skills and experience I gained from the teaching profession. I have abilities in secure Azure cloud deployments (especially with Terraform and Kubernetes), data science, machine learning and database and software design. I can adapt quickly to new situations and assimilate new knowledge, techniques and technologies. I am currently studying for the AZ-400 DevOps Solutions exam.
- Azure Fundamentals
- Cisco DevNet Associate
- IBM Data Science Professional Certificate
- Machine Learning Certificate (Stanford University)
- B.InfoTech (Computer Software Development), University of Southern Queensland
- CompTIA A+
- CompTIA i-Net+
- Oracle SQL and PL/SQL Certification
- Primary Teacher with Qualified Teacher Status (Ref No. 1231535)
- B.Ed (Primary), University of Southern Queensland
- CELTA, University of Cambridge
- Certificate IV in Assessment & Workplace Training (AUS)
Deployed a working secure WordPress website using Azure Kubernetes Service, a MariaDB or MySQL database for the backend, with Let's Encrypt SSL certificate. All of this was deployed with a single Azure Pipeline using technologies such as Terraform, Helm, Azure Container Registry and Azure Key Vault and Variable Groups.
In behalf of a non-profit organisation, I refactored and migrated a .Net SQL-Server-driven application (that I wrote in C# a few years ago) so that it could be hosted solely on Azure. Azure cloud storage block blobs were used for backup/restore functions and all images, and append blobs were used for data and error logging. A CI/CD pipeline was used on GitHub Actions for any code changes.
Building a static website and setting up a CI/CD pipeline for its automatic deployment involving Blob storage, Cosmos database, DNS, CDN, custom domain redirects, HTTPS security, and a serverless Azure Function API written in Python, all packaged into a ARM template only utilizing Azure's wide variety of cloud services.
Built a website (and updated it monthly) to show what was happening with flights to Australia during COVID. This involved: 1) writing Python scripts to collect, combine and clean data (which was from a range of sources including multiple APIs and web scraping); 2) creating Tableau charts to visualise the data; 3) embedding the charts into webpages along with explanations and advice.
A complete run-through of the data science workflow, involving Jupyter Notebooks and Python scripting to gather and clean data from 6 different sources, perform exploratory data analysis and visualisations, and run machine learning (k-means clustering algorithm) to find the answer the question: What's the best neighbourhood in Brisbane for families with children?
Class teacher responsible for:
Cycling, football coaching of my children, electronic music production
Ramon Rossi ramon_rossi@hotmail.com +44 7527 693486
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