Automotive Time-Series Formats
Fluent in reading, parsing, and interacting with data stored in popular automotive formats on CAN networks — including ASAM MF4/MDF, FAMOS DAT, and more.
Bryan Wandrych — Data Engineer & Analytics Engineer
I’m a Detroit-area Data Engineer and Michigan Tech Software Engineering graduate. I enjoy solving complex data challenges, building streamlined systems, and making software more efficient. My work spans data engineering, cloud platforms, and personal software projects.
Quick facts
- Name
- Bryan Wandrych
- Role
- Data Engineer & Analytics Engineer
- Employer
- Daimler Truck North America: Detroit Diesel
- Education
- B.S. Software Engineering, Michigan Technological University
- Strengths
- Python, SQL, ASAM MDF, Automotive Time Series Formats, Data Engineering, Data Science, Data Analytics, Databricks, & Delta Tables
- Location
- Metro Detroit, Michigan, USA
- Contact
- Contact Page, bwandrych@gmail.com, bwandrych@bryanwandrych.com
Highlights
Homelab
I run my own servers — a Raspberry Pi rack, mini PCs, and self-hosted media, files, and remote desktop, all secured and reachable from anywhere.
Self-Hosted AI
I run local models on my own hardware and prototype fast with agentic coding — but I still love programming my own projects myself.
Frequently Asked Questions
- What do you do?
- I’m a Data Engineer specializing in large-scale automotive time-series data. I build data pipelines that move measurement data from on-premises systems into Microsoft Azure and Azure Databricks, making it accessible for analytics and downstream engineering applications.
- What kind of projects do you work on?
- I develop end-to-end data pipelines for automotive measurement files, including ASAM MDF/MF4 and other data formats. My work spans data ingestion, transformation, and cloud integration, turning raw measurement data into structured Delta tables that teams can query and use for their own analytics and engineering use cases.
- What technologies do you work with?
- I primarily work with Python, SQL, Microsoft Azure, Azure Databricks, and Delta Lake to build scalable data processing pipelines and make large-scale time-series data accessible and reusable.
- Where can I explore your work?
- Visit the Work page to learn about my projects and the engineering challenges behind them. You can also explore my code on GitHub and my professional background on LinkedIn.
- How can I get in touch?
- Visit the Contact page to send me a message. I’m always happy to connect with fellow engineers, discuss technology, or explore interesting opportunities.