I offer expert guidance and professional implementation of data engineering solutions, covering the full data lifecycle with a focus on Datawarehousing and Analytics Engineering. I mainly work with well proven and scalable technologies like Databricks, Snowflake, MS SQL Server, Airflow and DBT.
Contact me today to discuss your needs. Let me reduce the complexity of the field of data engineering for you.
“Herr Königsmark hat unser Unternehmen bei der Erstellung eines kundenspezifischen Datenreports unterstützt. Dabei war er stets leistungsbereit und engagiert, hat gut Vorschläge eingebracht und hervorragende Ergebnisse geliefert. Die Kommunikation verlief immer rasch und freundlich mit allen Projektteilnehmern. Nach erfolgreichem Projektabschluss danken wir für die gute Zusammenarbeit und wünschen Ihm weiterhin alles Gute.”
— Holger Teichmann, Wiesheu GmbH
“Nicolay knows the ins and outs of the modern data engineering stack. His expertise would help any organisation looking to build scalable and reliable data pipelines.”
— Ishaan Varshney,
Head of Engineering @ SellerX
“Nicolay is eager to learn and develop on a professional level. It was great working with him.”
— Benjamin Kettner,
CTO @ ML!PA Consulting GmbH
“I was working with Nico back at University as his supervisor and ever since followed his path into IT and Data Engineering… an ambitious learner and self-driven man, very reliable and good to hang out with! Recommended!”
— Angelika Schmid,
Lead for Data & AI @ Accenture
Streamline your data from multiple sources and store it in a robust data warehouse tailored to your needs. I provide end-to-end solutions—from automating data collection over building and maintaining your data warehouse infrastructure to the reports. My approach ensures that your analytics infrastructure is powered by a reliable, well-maintained, and scalable data foundation.
I navigate you through the complex landscape of data software with expert guidance and offer Data Stack Development services to help you choose and implement the right tools for your needs, whether it’s databases, data integration tools, or cloud services. Common Stacks I use are build around Snowflake, Databricks, MS SQL Server, AWS, DBT and Airflow.
Since day one of my career I have built reports for various kinds of stakeholders. My experience goes from Power BI, SSRS and Google Looker and custom reports with R and Python. As a statistician I have deep knowledge about designing statistical frameworks performing Machine Learning approaches (KNN, Decision Trees, Random Forest, LLMs etc.). Combined with my data engineering skills your company will profit from my end-to-end expertise.