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# Matt Haffner

**Headline:** Professional profile
**Location:** Eau Claire, WI, USA

## About

Matt Haffner is a professor with teaching responsibilities who is seeking a more hands\-on technical role focused on challenging data engineering and geospatial problems\. Matt is strongest in geospatial data engineering, modern cloud infrastructure, CI/CD pipelines, and the integration of multiple real\-world data sources into automated workflows\. He also brings knowledge of spatial interpolation methods and the validation practices needed to assess geospatial models reliably, including the use of held\-out data\. His work includes building a statewide camping forecast platform and exploring kriging as a way to improve air\-quality estimates\. Matt values autonomy over the technical environment and tooling, and he is interested in work that offers flexibility to select and use effective technical tools rather than operating in locked\-down corporate setups\. While he currently works in academia, Matt’s professional direction is toward technical, implementation\-oriented work beyond a primarily teaching\-focused role\.

## Highlights

- Built a statewide camping forecast platform\.
- Integrated multiple real\-world data sources through automated geospatial data pipelines\.
- Proficient with modern data engineering tools, including cloud infrastructure and CI/CD pipelines\.
- Knowledgeable in spatial interpolation methods and validation techniques for geospatial models\.
- Exploring kriging to improve air\-quality estimates\.
- Validates geospatial models with held\-out data\.
- Currently works as a professor with teaching responsibilities\.
- Seeking more hands\-on technical work beyond a primarily teaching\-focused role\.

## FAQ

### What does Matt do now?

Matt is currently a professor with teaching responsibilities\. He is seeking to move toward more technical, hands\-on work and away from a role centered primarily on teaching\.

### What type of work is Matt seeking?

Matt is pursuing hands\-on technical work involving data engineering, geospatial systems, cloud infrastructure, and automated pipelines\. He is particularly motivated by challenging technical problems\.

### What are Matt's data engineering strengths?

Matt is proficient with modern data engineering tools, including cloud infrastructure and CI/CD pipelines\.

### What experience does Matt have in geospatial data engineering?

Matt has experience integrating multiple real\-world data sources into automated geospatial data pipelines\.

### What notable project has Matt built?

Matt built a statewide camping forecast platform\.

### What does Matt know about geospatial modeling?

Matt is knowledgeable about spatial interpolation methods and appropriate validation techniques for geospatial models\.

### How has Matt applied spatial interpolation?

Matt explores kriging as a method for improving air\-quality estimates\.

### How does Matt validate geospatial models?

Matt validates models using held\-out data, an approach that helps assess how well a geospatial model performs beyond the data used to develop it\.

### What technical work environment does Matt prefer?

Matt prefers autonomy over his technical environment and tooling\. He is not interested in locked\-down corporate setups and values flexibility in the tools he can use\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/matt\-haffner\-07296176

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