Freelancer profile translated to English.

Description

You want to get more out of your data – I build the pipeline for it.

I help small and medium-sized companies structure their data processes: from the ETL pipeline to a clean data model. At BASF, I managed production-critical pipelines with Apache Airflow and increased performance by 200% – through clean code, monitoring, and automated tests.

Typical projects: Building or optimizing data pipelines, modernizing ETL processes, designing SQL data models, developing Python automations.

Available for short-term projects (remote, Berlin or hybrid).

Industry field of expertise

Languages

German
Fluent
English
Fluent
Portuguese
Native or bilingual

Workplace preferences

Can work on-site

Berlin (up to 50km)

BASF
Digital Expert
CHEMICAL
July 2022 - June 2024 (1 year and 11 months)
Schwarzheide, Germany
Development of an ETL pipeline for calculating chemical yields in the production of crop protection agents (F500, Epoxyconazole): Code performance improved by 200%.
Ensuring code quality through unit and integration tests.
Data sources: SAP-QM for laboratory analyses and Aspen IP.21 for real-time sensor data, among others.
Tech stack for main project: Python (including FastAPI, Pandas, Pytest), PostgreSQL, Apache Airflow, PowerBI.
Tech stack for ad hoc analyses: additionally DuckDB, Plotly/Plotly-Resampler.
etl-processes Python data-integration Data analysis