DWDavid Wang
@davidwang8
Senior Data Engineer specializing in scalable cloud data platforms and analytics-ready pipelines.
United StatesWhat I'm looking for
I am a Senior Data Engineer with 11+ years building large-scale data platforms and pipelines across e-commerce and healthcare, focused on transforming complex, high-volume data into reliable, analytics-ready insights.
At Amazon I led efforts to process 10+ TB/day into S3 and Redshift, reduced data latency by 35%, automated deployments with Terraform and CodePipeline, and implemented a Deequ-based data quality framework to improve production trust.
Previously, I designed HIPAA-compliant Azure data warehouses at Mercy and optimized Spark/EMR pipelines at Zulily, delivering ML-ready datasets, reducing processing times, and improving reporting efficiency.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Amazon
Dec 2020 - Present (5 years 1 month)
Led development of scalable AWS data pipelines processing 10+ TB/day into S3 and Redshift, reducing data latency by 35% and enabling real-time BI and ML insights with 99.99% availability.
Data Engineer
Mercy
Sep 2016 - Nov 2020 (4 years 2 months)
Designed HIPAA-compliant Azure data pipelines and warehouses (Data Factory, Synapse) to integrate EHR, lab, and finance data, cutting manual report creation ~60% and improving data reliability.
Data Engineer
Zulily
Dec 2014 - Aug 2016 (1 year 8 months)
Built and optimized Spark (EMR) batch and streaming ETL pipelines for e-commerce personalization and analytics, reducing daily processing time by 50% and improving data accuracy for BI and ML features.
Education
Degrees, certifications, and relevant coursework
UFUniversity of Central Florida
Bachelor of Science, Computer Science
2010 - 2014
Completed a bachelor's degree in Computer Science with emphasis on software and data engineering fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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