Summary
Daniel Tang is a data-focused engineer and entrepreneur with nine years of experience building ETL pipelines, data infrastructure, and automation at scale across tech leaders like Meta, Apple, Amazon, and Facebook. He combines hands-on skills in Airflow, PySpark, AWS (EMR, Glue, Lambda, S3, Redshift), and dashboarding with a pragmatic focus on pipeline cost-efficiency, security, and observability. As co-founder of SparrowStay, he’s applying his data systems expertise to solve a real estate pain point—creating a purpose-built platform for mid-term rentals that streamlines listings, bookings, and operations. Known for turning fragmented workflows into scalable, auditable systems, he also has a background in finance and biochemistry, which informs his analytic rigor and cross-disciplinary problem solving.
9 years of coding experience
4 years of employment as a software developer
North Brunswick Township High School
Finance Biochemistry, Finance Biochemistry at Rutgers University
English, Chinese