| DevOps & Sysadmin | Linux SSH Docker Kubernetes Helm Ansible GitlabCI GCloud Azure Nginx Jenkins VMWare ESX IPTables DNS Bind |
| Frontend | React Redux VueJS GraphQL Web Components Polymer Angular Webpack PhantomJS Puppeteer |
| Backend | Django Flask Twisted Redis/Memcached Celery NodeJS Express Koa Microservices |
| Programming Languages | Python Java JavaScript ES6 Typescript Bash PHP |
| Database | PostgreSQL MySQL/MariaDB Redis MongoDB Firebase InfluxDB Oracle Hasura |
| API | REST SOAP OAuth2 SAML2 JWT GraphQL Websockets |
| Tools & Methodologies | Version Control Systems GIT SVN Agile Software Development TDD | Test Driven Development User stories Debugging Code reviewing Data modelling UML Object-Oriented design Business Reporting PDF generation |
After I resigned from PwC, I co-founded this company.
Django PostgreSQL React Redux NodeJS Redis SocketIO Gitlab CI Ansible Nginx Chrome Extensions Electron Stripe SAML2 OAuth2 Okta Stripe
My last year at PwC consisted mainly of making myself superfluous. Transferring responsibility of hosting more than 30 custom built applications including the CI/CD architecture to an external full-service party. In addition, I participated in a number of innovation projects in the field of Internet Of Things and Machine learning.
polymer angular NodeJS InfluxDB firebase grafana Gitlab CI ansible docker gcloud git IoT Raspberry PI
Our department moved from TAX line of service to the shared IT center, GTS. Now we also received requests from other lines of service, namely 'Advisory'. As a result we found that besides less sophisticated requirements there was also a great need to deliver faster. Switching from Java/JEE to Python/Django helped us to make this a reality.
Python Django MySQL PostgreSQL Oracle Pandas Celery Git PhantomJS OAuth2
High performance web crawler. Scraping multiple advertisement sources in parallel. Push new data to end users in real time.
Scrapy VueJS Vue-apollo GraphQL subscriptions Quasar Redis PostgreSQL Hasura kubernetes Helm
Benchmarking ~450 HMOs for a large umbrella organization in the healthcare sector. Annual calculation and reporting of KPIs of business operations, employee data and patient satisfaction. These were presented on scorecards together with trends and comparison groups. After measuring these three parts, we generated a dashboard scorecard where the position of the organization was ranked against similar organizations in the same sector.
Django Gunicorn Java Jython Apache POI Jasper Reports Tomcat JUnit Oracle SQL PhantomJS