Joseph Prostko
Systems Engineer at Management Science Associates, Inc.
Valencia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJoseph Prostko is a systems engineer with 16 years of hands-on experience building and maintaining Linux and Hadoop ecosystems for enterprise and cloud environments. He has administered secure, Kerberized Cloudera and Hortonworks clusters, deployed production MapR and cloud-based Hadoop solutions, and automated Linux builds and provisioning across VMware, Cisco UCS, and public cloud platforms. Comfortable bridging development and operations, he has built PHP and C# integrations, contributed backend fixes to the Haiku OS project, and routinely leverages tools like Prometheus, OpenShift, Git, Jira, and Confluence to keep large systems healthy. Based in rural Pennsylvania, he pairs deep infrastructure expertise with practical application delivery—often tackling low-level build and driver issues that reveal an attention to detail beyond typical sysadmin work.
16 years of coding experience
21 years of employment as a software developer
B.S., Electrical Engineering, B.S., Electrical Engineering at Penn State University
Github Skills (6)
debug10
c-language10
cprogramming-language10
haiku10
operating-system10
gcc9
Programming languages (6)
Github contributions (5)
haiku/haiku
Apr 2010 - Feb 2017
The Haiku operating system. (Pull requests will be ignored; patches may be sent to https://review.haiku-os.org).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits in 6 years 10 months
Contributions summary:Joseph primarily contributed to the Haiku operating system codebase. Their work involved fixing build issues related to missing commas, correcting spelling mistakes that impacted functionality, and addressing issues to allow the source to build with GCC 4.7. Additionally, the user made modifications to the graphics drivers and the VMDK image size limitation.
kernelhaiku-osoperating-systemhaikulinux
jprostko/hadoop-deployment-bash
Jun 2019 - Jul 2019
Code for the deployment of Hadoop clusters, written in Bourne or Bourne Again shell.
Contributions:3 pushes, 3 branches in 13 days
pythonclustersdeploymentbournehadoop
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