# John Readey

> computer scientist

**Wikidata**: [Q120635895](https://www.wikidata.org/wiki/Q120635895)  
**Source**: https://4ort.xyz/entity/john-readey

## Summary
John Readey is a computer scientist affiliated with The HDF Group, where he works on developing scalable data services. He holds a degree from Ohio State University and has contributed to cloud-native data access solutions, including the Highly Scalable Data Service.

## Biography
- Nationality: [Not specified]
- Education: Bachelor's degree from Ohio State University
- Known for: Developing cloud-native data services and scalable access to HDF data
- Employer(s): The HDF Group
- Field(s): Computer science, technology

## Contributions
John Readey has worked on the development of the Highly Scalable Data Service, a cloud-native solution for accessing HDF data. His contributions focus on enabling service-based access to large-scale scientific datasets, supporting the HDF Group’s mission of providing efficient data management tools. His work aligns with the group’s efforts to advance data infrastructure in scientific computing.

## FAQs
### Q: What is John Readey known for?
A: John Readey is known for his work on scalable data services, particularly the Highly Scalable Data Service, which provides cloud-native access to HDF data.

### Q: Where did John Readey study?
A: John Readey earned his degree from Ohio State University.

### Q: What is John Readey's role at The HDF Group?
A: John Readey works at The HDF Group, contributing to the development of scalable data services.

### Q: Does John Readey have any notable publications or patents?
A: No specific publications or patents are mentioned in the provided source material.

### Q: How can I connect with John Readey professionally?
A: John Readey’s LinkedIn profile is available at [linkedin.com/in/john-readey-55326a4](https://www.linkedin.com/in/john-readey-55326a4/).

## Why They Matter
John Readey’s work on scalable data services has contributed to the HDF Group’s ability to provide efficient, cloud-native solutions for managing large scientific datasets. His expertise in computer science and data infrastructure supports the group’s mission of enabling researchers to work with complex data more effectively. Without his contributions, the development of Highly Scalable Data Service and similar tools may have been delayed or less optimized.

## Notable For
- Developed the Highly Scalable Data Service, a cloud-native solution for HDF data access.
- Affiliated with The HDF Group, a leader in data management for scientific computing.
- Holds a degree from Ohio State University, demonstrating foundational education in computer science.

## Body
### Professional Background
John Readey is a computer scientist employed by The HDF Group, where he focuses on scalable data services. His work includes developing the Highly Scalable Data Service, which provides service-based access to HDF data in a cloud-native environment.

### Education
John Readey earned his degree from Ohio State University, establishing a foundation in computer science.

### Open-Source Contributions
John Readey’s GitHub username is [jreadey](https://github.com/jreadey), where he may contribute to open-source projects related to data services.

### Professional Connections
John Readey’s LinkedIn profile ([linkedin.com/in/john-readey-55326a4](https://www.linkedin.com/in/john-readey-55326a4/)) provides additional details about his professional network and contributions.

## References

1. [Source](https://www.hdfgroup.org/team/john-readey/)