Ed Chin is a seasoned Data Engineer and cloud developer based in Houston with over 10 years of experience modernizing data systems and building bespoke training simulations for financial institutions. His background uniquely bridges legacy enterprise technology—COBOL, Fortran, VFP—and modern data science tools, enabling practical migrations and analytics-driven solutions. He has led teams and delivered high-stakes projects for banks like Citibank and ING, designing real-time trading simulations and risk reporting systems used globally. After reskilling with a data science fellowship, he now freelances on data engineering engagements while tutoring statistics and accounting, combining hands-on engineering with an educator’s clarity. Expect a practitioner who understands both low-level system constraints and higher-level analytics needs, with a track record of translating finance domain complexity into robust software.
10 years of coding experience
33 years of employment as a software developer
Professional Certification in COBOL Programming, Professional Certification in COBOL Programming at Computer Processing Institute
Associate of Science - AS, Mathematics, Associate of Science - AS, Mathematics at Inter American University of Puerto Rico
Fordham Preparatory School
Bachelor of Arts - BA, International Business, Bachelor of Arts - BA, International Business at Pace University
Fellowship, Data Science, Fellowship, Data Science at Lambda School
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