David Leifker
Founding Engineer at DataHub
Mount Horeb, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Leifker is a founding engineer with 12 years of experience designing and shipping scalable data infrastructure, distributed systems, and cloud-native architectures from startups to enterprise. He has led engineering teams and delivered production-grade solutions—ranging from an API tracing system and extensible plugin frameworks at DataHub to a Lake Formation POC for fine-grained AWS Data Lake security at Zendesk. His background includes architecting high-throughput streaming and social ingestion pipelines, enterprise pricing and search platforms, and the cloud migration of analytics stacks that enabled ML at scale. An active contributor to the DataHub open-source project, he implemented protobuf schema ingestion and annotation support to improve metadata fidelity across large heterogeneous data sources. Based in Mount Horeb, WI, he blends hands-on backend engineering with product-minded system design and a knack for turning governance and observability requirements into developer-friendly platforms.
12 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Wisconsin-MadisonBachelor of Science (B.S.) Major: Electrical Engineering with Computer Option Minor: Sociology, Bachelor of Science (B.S.) Major: Electrical Engineering with Computer Option Minor: Sociology at Bradley University
Github Skills (10)
data-ingestion10
javas10
metadata10
protobuffer10
protobuf10
java10
datahub10
gradlew9
gradle9
testing8
Programming languages (6)
Github contributions (5)
datahub-project/datahub
Mar 2022 - Sep 2022
The Context Platform for your Data and AI Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 9 commits, 11 PRs in 6 months
Contributions summary:David primarily contributed to the DataHub project by implementing features related to protobuf integration, including the addition of schema ingestion capabilities and support for annotations. They also worked on bug fixes and enhancements to the protobuf graph and dataset processing, ensuring data integrity and proper handling of various protobuf-related functionalities. Furthermore, they made adjustments to test configurations and related supporting files to improve testing stability and coverage.
aimetadatadatahubdata-catalogdata-discovery
leifker/datahub
Feb 2022 - Aug 2023
The Metadata Platform for the Modern Data Stack
Contributions:15 PRs, 102 pushes, 11 branches in 1 year 6 months
data-managementdata-stackmetadatamodern-data-stack
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