Frank Greguska
Staff Software Engineer at Slingshot Aerospace
Greater Milwaukee United States
Summary
👤
Senior🎓
Top SchoolFrank Greguska is a Staff Software Engineer with over 15 years of experience building cloud-native, high-throughput scientific data systems and operational pipelines for NASA and other enterprise customers. He has repeatedly delivered dramatic latency and cost improvements—ranging from 12x lower pipeline latency for ocean wind data to 30% faster image processing and 25% lower cloud egress—by designing distributed processing, observability, and CI/CD solutions across AWS, Kubernetes, and on-prem HPC. A pragmatic leader and mentor, he has run teams, owned million-dollar budgets, and championed developer productivity through automation and AI tool adoption while shepherding open-source projects like HySDS and Apache SDAP from incubation to production. Based in Greater Milwaukee, he combines hands-on engineering with product ownership for large geospatial datasets (tens of TBs/day) and a knack for translating mission-critical science requirements into reliable, low-latency operational services.
11 years of coding experience
7 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Southern CaliforniaBachelor’s Degree, Software Engineering, Bachelor’s Degree, Software Engineering at Milwaukee School of Engineering
Github Skills (109)
spring-data10
on-the-fly10
nexus10
java10
spring-boot10
spring10
data-access9
spring-security9
satellite9
temporal9
satellite-imagery9
binder9
solve9
elasticity8
esgf8
Programming languages (11)
Github contributions (5)
apache/sdap-nexusproto
Jan 2018 - Oct 2018
Mirror of Google Protobuf definition of a SDAP NEXUS Tile with bindings to both Java and Python.
Contributions:1 release, 1 review, 3 commits in 8 months
sdappythonprotobuftilenexus
dataplumber/nexus
Sep 2016 - Jan 2018
NEXUS is an emerging data-intensive analysis framework developed with a new approach for handling science data that enables large-scale data analysis. It takes on a different approach in handling array-based observational temporal, geospatial artifacts by fully leveraging the elasticity of Cloud Computing environment. Rather than performing on-the-fly file I/Os, NEXUS stores tiled data in Cloud-scaled databases with high-performance spatial lookup service. NEXUS is also packaged with a suite of science data analytic web services that are developed using Apache Spark.
Contributions:2 releases, 36 commits, 45 PRs in 1 year 4 months
arraypythontiledspatialnexus
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