Xabriel Mojica
Staff Data Engineer
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolXabriel Mojica is a Staff Data Engineer with a decade of experience designing and shipping large-scale SQL and data-platform solutions, currently driving data engineering at the Wikimedia Foundation. He co-architected Adobe's cloud-native Query Service on Apache Spark—owning REST APIs, metadata storage, and scheduling—and helped launch an integrated reporting system linking dashboards to a data warehouse. Earlier at IBM he contributed to Big SQL and led containerization efforts, gaining deep exposure to Hadoop, HBase, Hive and Impala. An active open-source contributor to Apache Iceberg, he has added features that improve metadata compatibility and query behavior, reflecting a knack for making data systems more robust and configurable. Combining graduate research in cloud workload modeling with hands-on production builds, he blends principled experimentation and academic rigor with practical engineering that scales. Based in Ann Arbor, he brings both systems-level architecture and pragmatic delivery to complex data platforms.
10 years of coding experience
13 years of employment as a software developer
Professional Certificate Data Science, Professional Certificate Data Science at HarvardXBachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at University of Puerto Rico-MayaguezMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at Florida International University
English, Spanish
Stackoverflow
3reputation
0reached
2answers
0questions
Github Skills (12)
javas10
java10
apache-iceberg10
data-engineering10
back-end-development9
spark8
data-structure7
data-structures7
heroku6
sqlite6
mongodb6
mongoid6
Programming languages (8)
Github contributions (5)
apache/iceberg
Jan 2019 - Nov 2019
Apache Iceberg
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 9 PRs, 128 comments in 9 months
Contributions summary:Xabriel's commits primarily focus on enhancing the functionality and configuration of Apache Iceberg, a data lake format. They implemented a case sensitivity flag for expression binding, which improves data processing flexibility. The user also contributed to supporting case sensitivity configuration and allowing overrides for read split behavior, improving the data processing capabilities. Furthermore, the user fixed the reading of old metadata files, and added metadata tables for path-based tables, making the data more accessible.
apache-icebergicebergapache
xabriel/listen-to-wikipedia
Mar 2023 - Dec 2023
Live, generative music from Wikipedia edits
Contributions:3 reviews, 3 PRs, 6 pushes in 9 months
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