Xabriel Mojica - Staff Data Engineer

Xabriel Mojica

Staff Data Engineer

Ann Arbor, Michigan, United States

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Summary

👤

Senior

🎓

Top School

Xabriel 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 HarvardX

Bachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at University of Puerto Rico-Mayaguez

Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Florida International University

English, Spanish

Github Skills (8)

javas10

java10

data-engineering10

apache-iceberg10

back-end-development9

spark8

data-structure7

data-structures7

Programming languages (7)

JavaRTeXScalaJavaScriptPuppetPython

Github contributions (5)

apache/iceberg

Jan 2019 - Nov 2019

Apache Iceberg

Role in this project:

Back-end Developer

Contributions: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-icebergapachebig-datadatastreamjava

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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