07.08.2026 aktualisiert
verifiziert
Premiumkunde
100 % verfügbarPython Developer | Azure | AWS | GenAI
Berlin, Deutschland
Weltweit
Master's Degree in Computer ScienceSkills
LinuxDjangoPythonRabbitMQSonarqubeFlaskAWS LambdaCeleryCheckmarxTerraform
Freelance Python developer with a decade of experience working with clients ranging from startups to global corporations, including Rabobank, KPN, Deutsche Telekom, and AT&T. Also trusted by innovative smaller clients such as ManyPets and Verint.
Versatile and adaptable, with a proven track record in industries like telecommunications, networking, security, insurance, and banking.
- Cloud & DevOps Azure Cloud, Azure DevOps, AWS (Lambda, EventBridge, SQS, CDK), Jenkins, GitHub Actions, Docker, Kubernetes, Terraform
- Languages & Core Tools Python, JavaScript, C, Assembly, Bash
- Data & Storage Azure SQL, MongoDB, MariaDB, Redis
- Frameworks & Libraries Flask, FastAPI, Django, SQLAlchemy, SQLModel, rabbitmq, Pydantic, pandas, celery, pytest, uv/poetry, ruff, mypy, pre-commit, tox, memray
- Miscellaneous TDD, OpenAPI, Grafana, Elasticsearch, SonarQube, Checkmarx, trivy
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherNiederländischGrundkenntnisseSlowakischMuttersprache
Projekthistorie
- Led Basel IV (CRR3) implementation, increasing bank’s core capital ratio from 16.9% to 19.9%, unlocking billions in lending capacity and significantly enhancing financial stability
- Planned and prioritized work (Scrum) in collaboration with Product Owner
- Implemented multi-tenant database design using dynamic ORM models
- Optimized memory usage to meet limits, enhancing stability and reducing overhead
- Introduced feature flags for seamless release management
- Introduced contract based testing
- Led Security Design, Threat Modelling and Vulnerability Management to meet DORA, SOx, and
- ISO 27001 compliancy
- Tech: Python, Azure Cloud, Azure DevOps, Docker, Kubernetes, Celery, SQLAlchemy, pandas,
- Docker, Pydantic, Redis, SonarQube, Checkmarx, NexusIQ, trivy
- Developed microservices for transactional email and user management, serving 700k customers
- Scaled the existing startup codebase into an enterprise-level solution
- Introduced a new queue based architecture for ingesting and validating Segment events
- Set up automated linting, static type checking and unit testing
- Tech: Python, TypeScript, Flask, Django, AWS: Lambda, EventBridge, SQS, CDK, MongoDB,
- Grafana, OpenAPI, GitHub Actions, TDD
- Developed a Flask application used to set up new mobile network base stations
- Tech: Python, Flask, SQLAlchemy, MariaDB, JavaScrip