Principal Python Engineer

9/2024 – offen

Supported the company's transition from an on-premise architecture to AWS cloud services, playing a pivotal role in modernizing infrastructure and optimizing operational efficiency. Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.

Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors
Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention
Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization
Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines
Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools

Python, Poetry, Ruff, PostgreSQL, SQLAlchemy, Github CI, Kubernetes, Apache Airflow, AWS Cloud

Amazon Web Services (AWS), Apache Kafka, Elasticsearch, Kubernetes, Postgresql, Python

1/2022 – 8/2024

Technical team lead of a migration scrum team of up to 18 data scientist, data engineers, software developers, automation testers and requirement engineers. Python mentor and lead implementation engineer of a data processing engine. Designing, implementing and steering of a core library for the ECB.

Big Data, Jira, Kubernetes, Pandas, Projektleitung / Teamleitung (IT), Python, Release-Management, Scrum