Daniel Munoz
Software Engineer at Meta
Everett, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Munoz is a seasoned software engineer with over a decade of professional experience and a lifelong passion for systems and low-level programming dating back to hobby projects in the early 2000s. Currently at Meta, he focuses on data warehouse file formats and read/write libraries within Data Infrastructure, bringing production-grade rigor to storage and I/O tooling. His background spans high-traffic cloud services at AWS (Java, Ruby, JavaScript, DynamoDB, S3, Lambda) and extensive C++ work across embedded, desktop, and mobile platforms for clients including DreamWorks and Motorola. Comfortable across languages and environments, he combines deep systems thinking with practical service ownership, monitoring and automation. Notably, he has a history of self-driven engineering projects—like a C++ Huffman compressor and microcontroller-based instruments—that reveal a strong foundation in algorithms and embedded systems. Based in Everett, WA, he blends enterprise-scale cloud experience with a hacker’s curiosity for performance and robustness.
10 years of coding experience
9 years of employment as a software developer
English as a Second Language, Overal Grade B+, English as a Second Language, Overal Grade B+ at Ellison's Educational AcademyElectronic Engineering, Engineering, B+, Electronic Engineering, Engineering, B+ at Universidad Tecnológica NacionalComputer Science, 1st. year complete, Computer Science, 1st. year complete at Universidad Adventista del Plata
Spanish, Portuguese, English
Github Skills (7)
acceleration10
cpp10
data-management10
data-processing10
database10
query-language7
high-performance5
Programming languages (1)
Github contributions (5)
DanielMunozT/velox
Jul 2022 - Apr 2025
A new C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:498 pushes, 130 branches in 2 years 8 months
queryvectorizedcppdata-processingacceleration
DanielMunozT/nimble
Apr 2024 - May 2024
New file format for storage of large columnar datasets.
Contributions:66 pushes, 8 branches in 20 days
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