Dave Lyons - Senior Data Engineer

Dave Lyons

Senior Data Engineer

New York City Metropolitan Area United States

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Summary

👤

Senior

🎓

Top School

Dave Lyons is a Senior Data Engineer with 11 years of experience building data platforms, ETL pipelines, and customer-facing analytics for education, publishing, and TMT sectors across the US and China. He combines deep database expertise—relational, columnar, and NoSQL—with scripting in Python/R and production DevOps (Git, Docker, AWS) to deliver robust data products and interactive visualizations. At Success Academy he led the data strategy that enabled accurate reporting tied to over $75M in funding, and he now architects data systems at Brigit. His open-source contributions include refining dbt-codegen macros to make model materialization more configurable, reflecting a pragmatic focus on testable, maintainable pipelines. With an MLIS and a background in digital librarianship and multilingual publishing workflows, he brings a rare mix of data engineering rigor and domain expertise in scholarly and copyright contexts. Collected experiences from translation to correspondent work inform his clear communication with cross-functional and international teams.

11 years of coding experience

12 years of employment as a software developer

Bachelor's Degree, History, Bachelor's Degree, History at Rice University

MLIS, Library and Information Sciences, MLIS, Library and Information Sciences at Rutgers University

Chinese, English

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (7)

macros10

sql10

dbt10

testing9

data-modeling8

py7

python7

Programming languages (17)

JavaCMakefileScalaGoJupyter NotebookSQLDockerfile

Github contributions (5)

dbt-labs/dbt-codegen

Sep 2022 - Nov 2022

Macros that generate dbt code

Role in this project:

Data Engineer

Contributions:1 review, 24 commits, 3 PRs in 2 months

Contributions summary:Dave primarily contributed to the `dbt-codegen` repository by modifying and updating macros and integration tests related to generating base models. Their work included refactoring parameters to enable materialization configurations, updating tests to use appropriate configurations, and addressing typos. The user demonstrated a focus on refining the `generate_base_model` macro, specifically regarding how it handles the `materialized` configuration. These changes involved updating integration tests to reflect these updates.

dbtsqlmacros

davesgonechina/davesgonechina

Jan 2022 - Mar 2025

Contributions:2 PRs, 3 pushes, 4 branches in 3 years 2 months

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