Data Engineer | Power BI Developer | SAP Consultant
"Data is like coffee—unprocessed, it’s just a bean. My job? Brewing it into something that keeps your business running!"
As a passionate and results-driven Data Engineer with 2 years of experience, I specialize in designing and implementing robust data solutions, focusing on Power BI, Power Query, Google Cloud Platform, and Apache Airflow. My proficiency in SQL and experience with Python empower me to efficiently transform complex datasets into actionable insights, enabling businesses to make informed, data-driven decisions.
Before transitioning to Data Engineering, I spent 2 years as an SAP Consultant, developing expertise in ERP systems, process optimization, and integrating technology into business workflows. This unique combination of skills allows me to bridge the gap between technical infrastructure and business operations, ensuring that data solutions align with strategic goals.
Additionally, I have a solid background as a Data Analyst, responsible for SAP B1 administration, creating SQL queries, and generating key reports that guide business decisions.
My ability to adapt and thrive in fast-paced environments, combined with my fluency in German and English, enhances my effectiveness in collaborating with international, multilingual teams.
Let’s connect to discuss how we can collaborate to drive innovation and unlock the full potential of data.
June 2023 - Present
September 2022 - June 2023
October 2020 - September 2022
June 2015 - October 2020
A Python-based ETL pipeline that calculates KPIs for employee shifts, breaks, and allowances, storing the results in a PostgreSQL database. Features include automated data extraction, transformation, and error handling.
Developed an automated ETL pipeline using Apache Airflow that automates data processing workflows. This solution handles large-scale data processing with built-in monitoring and error handling.
Custom integration solution connecting SAP with external platforms. Features automated data synchronization, error handling, and a monitoring dashboard for tracking data flow.