Andrew Escay

Staff Analytics Engineer - Finance at OpenAI

New York, New York, United States
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Summary

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Andrew Escay is a Staff Analytics Engineer with eight years of experience building data platforms, analytics engineering, and end-to-end data products across fintech, SaaS, ridesharing, e-commerce, and banking. He specializes in advancing dbt implementations, designing cross-functional tracking and reporting, and turning complex business problems into production-ready data pipelines, dashboards, and models. At dbt Labs he led product analytics efforts that shaped lifecycle frameworks, introduced novel materializations (inspiring microbatch incremental), and scaled team workflows; he now applies that experience to finance analytics at OpenAI. Andrew pairs hands-on infrastructure work—databases, ETL, and deployment—with a focus on data democratization, teaching stakeholders to embed data in daily decisions. A practical tinkerer with a love for data platforms, he has a track record of reducing time-to-insight and standardizing reproducible analytics in fast-growing teams.
code8 years of coding experience
job7 years of employment as a software developer
bookB.S. Business Administration, Business Administration and Management, General, B.S. Business Administration, Business Administration and Management, General at University of the Philippines
languagesFilipino, English
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Stackoverflow

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Github Skills (36)

operation10
code-behind10
desktop-application10
analytics9
dbt9
data-modeling9
slack9
portal9
application9
macos9
hugo-theme8
hugo8
django7
dbt-packages6
business-intelligence6

Programming languages (9)

LiquidCSSRustMakefileJavaScriptSwiftHTMLJupyter Notebook

Github contributions (5)

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Learning Portal provided by the DataRookies community!
Contributions:46 commits, 16 PRs, 38 pushes in 1 year 2 months
djangolearning-portalportal
Learning Portal provided by the DataRookies community! - FOR DEMO PURPOSES
Contributions:1 PR, 6 pushes, 3 branches in 1 year 2 months
learning-portalportal
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