Daniel Janz, Developer in Leoben, Austria
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Daniel Janz

Verified Expert  in Engineering

Process Engineer and Developer

Leoben, Austria
Toptal Member Since
June 7, 2022

Daniel is a process engineer whose favorite tools are C#, Python, and SQL. He is passionate about facilitating life for others by automating workflows and enabling data-driven decision-making. Daniel has deep knowledge of industrial processes, especially steel and logistics. He is eager to work on challenging problems and will be a great addition to any team.


Apache Airflow, Oracle, Apache Impala, Python, Ubuntu, Kubernetes
C#, SQL, Python, Oracle, SQL Server 2019, Blazor...
Breitenfeld Edelstahl AG
C#, .NET, Azure DevOps, SQL, Python




Preferred Environment

Apache Airflow, Azure DevOps, GitLab CI/CD, SQL, C#, .NET, Python, Ubuntu, Google Cloud, Kubernetes

The most amazing...

...challenge I've worked on was generating insights into stock market trends using machine learning.

Work Experience

Data Engineer

2021 - PRESENT
  • Established centralized cloud IDEs for the data science team using Docker and Kubernetes.
  • Created and maintained ETL pipelines as a basis for machine learning applications using Python.
  • Built platform-independent infrastructure software using Python.
  • Developed and internally published Python packages for standardized data warehouse access.
Technologies: Apache Airflow, Oracle, Apache Impala, Python, Ubuntu, Kubernetes

Owner | Contractor

2020 - PRESENT
  • Developed a full-stack web app using machine learning to minimize compressed air generation energy consumption for a large Austrian steel producer. Used the .NET stack, including Blazor and Worker Services with Oracle Database (SQL).
  • Developed full-stack pricing software and worked on user administration, machine learning for consumption prediction, and master data administration for an industrial customer, all done in .NET.
  • Administered and designed websites for various customers.
  • Taught people in re-training about C# and web development.
  • Developed a mobile app for a local paragliding school, including Google Maps integration, user administration, a newsfeed, and weather reports, using a NoSQL Google Cloud solution (Firestore) and Xamarin .NET (C#).
Technologies: C#, SQL, Python, Oracle, SQL Server 2019, Blazor, Windows Presentation Foundation (WPF), Xamarin, NoSQL, Machine Learning, .NET, Cloud Firestore, Google Cloud

Process Engineer

2018 - 2021
Breitenfeld Edelstahl AG
  • Visualized the production process from machine data to a web dashboard using the .NET stack (Worker Services, Blazor) and Azure DevOps for deployment.
  • Performed the data-driven reduction of energy consumption per ton of steel produced, saving hundreds of household consumption equivalents, doing data harvesting in C# .NET and exploration in Python and SQL.
  • Performed the data-driven increase of scrap melting production speed, doing data harvesting in C# .NET and exploration in Python and SQL.
Technologies: C#, .NET, Azure DevOps, SQL, Python

Paragliding App

This app is based on Xamarin .NET (C#) and used for user administration by a local paragliding school. I developed the app and its features, such as course administration and enrollment, weather checking, and map integration. The back end is implemented within the Google Cloud (Firestore).

Machine Learning Application Analysing Stock Market Trends

This project analyzes stock market trends, mainly implemented in C# .NET with Python elements. I developed the app with a former colleague, focusing primarily on machine learning signal generation (ML .NET) and developing the Web Dashboard (Blazor). The application is hosted on Azure with full Discord integration and uses Microsoft SQL Server for data storage.
2012 - 2017

Master's Degree in Industrial Environmental Protection and Process Technology

University of Leoben - Leoben, Austria


Visual Studio, Tableau, Apache Airflow, GitLab CI/CD, Apache Impala


.NET, Windows Presentation Foundation (WPF), Blazor


SQL, C#, Python


Databases, SQL Server 2019, PostgreSQL, Data Pipelines, NoSQL, Cloud Firestore, Google Cloud


Visual Studio Code (VS Code), Xamarin, Kubernetes, Ubuntu, Oracle


Azure DevOps


Engineering, Data Engineering, Machine Learning

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