Taylor A. Murphy
Arlington, Texas, United States
Summary
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RockstarTaylor Murphy is a data-driven engineer and founder based in Arlington, Texas, with a Ph.D. in Chemical and Biomolecular Engineering and a decade of experience building data platforms. As Founder & CEO of Arch and a maintainer of the open-source Meltano project, he leads an all-remote team focused on unlocking “dark data” and shipping reproducible, auditable pipelines. His work blends product and engineering—improving Meltano’s docs and UI while contributing metadata and parser improvements to dbt-core—reflecting a community-first approach and systems-level thinking. A former cancer metabolism researcher and data leader at GitLab and Concert Genetics, he brings domain expertise in metabolomics and genetics to practical data engineering and now serves as Board Secretary for a local Montessori academy.
10 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
documentations10
data-pipelines10
python10
dbt10
data-pipeline10
documentation10
javascript9
analytics9
data-modeling9
javascripts9
vue-js9
vue-jsx9
json-schemas8
ui-design8
community-management8
Programming languages (13)
Github contributions (5)
meltano/meltano
Feb 2021 - Jan 2023
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:409 reviews, 290 commits, 125 PRs in 1 year 10 months
Contributions summary:Taylor primarily contributed to the documentation and UI components of the Meltano project, specifically focusing on community and getting started guides. They added and updated links to the Meltano Hub and Slack, demonstrating a focus on improving user experience and community engagement. Additionally, they touched upon core configurations by bumping the version and updating the documentation's sidebar, demonstrating some knowledge of the project's overall structure.
pythondataloadersdbtdataops-platform
dbt-labs/dbt-core
Dec 2019 - Dec 2019
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:Data Engineer
Data EngineerContributions:14 commits, 1 PR, 38 comments in 12 days
Contributions summary:Taylor primarily focused on modifying data structures and parsing logic related to schema definitions within the dbt-core project. They added and updated fields like 'meta' to various data classes and parsers, ensuring the manifest.json included relevant data. This suggests a focus on improving how dbt handles and represents metadata associated with data models and sources. The commits show a transition from 'data' to 'meta' for storing key-value pairs and involved modifications to the parser to correctly process these fields.
analyticsdbt-viewpointtransformanalystssql
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