John Peng
@johnpeng
Senior AI Data Engineer with 10+ years building lakehouse platforms and Generative AI systems for real-time enterprise intelligence.
United StatesWhat I'm looking for
I’m a Senior AI Data Engineer with 10+ years of experience designing large-scale data platforms and AI/ML systems across healthcare, digital marketplaces, and e-commerce. I build cloud-native analytics and scalable data products that turn complex data into measurable outcomes at enterprise scale.
At Abbott, I architected the next-generation AI and analytics platform for the FreeStyle Libre CGM ecosystem, processing billions of daily healthcare events with a Medallion Lakehouse Architecture powered by Databricks, Delta Lake, Apache Iceberg, and Unity Catalog. I built AI-ready streaming and batch pipelines with Python, SQL, PySpark, Kafka, Debezium CDC, Spark Structured Streaming, Airflow, and AWS—enabling real-time analytics, machine learning, Generative AI, and governed healthcare intelligence.
I also lead advanced AI engineering, including agentic data engineering with LangGraph, OpenAI, Claude, and MLflow, plus enterprise RAG and vector search using LlamaIndex, Pinecone, and pgvector. Earlier, I scaled Airbnb’s petabyte-scale ETL and modernized its data warehouse ecosystem, and at Shopify I delivered SQL-based reporting and Tableau dashboards that improved decision-making and reduced manual effort.
Experience
Work history, roles, and key accomplishments
Architected Abbott's next-generation AI and analytics platform for the FreeStyle Libre CGM ecosystem, building a Medallion Lakehouse with real-time streaming pipelines and enterprise RAG/vector search capabilities. Established data governance, observability, and healthcare-compliance frameworks while delivering AI-ready datasets and BI/ML reporting.
Architected and scaled Airbnb's enterprise data platform for large-scale analytics, experimentation, and business intelligence. Built batch and near-real-time ETL pipelines, modernized the data warehouse ecosystem, and implemented data quality/governance while optimizing distributed query performance and reducing infrastructure costs.
Developed SQL-based reporting and Tableau dashboards to analyze merchant acquisition, store performance, conversion, payment trends, and customer retention. Built automated reporting pipelines and conducted ad hoc KPI analysis to support data-driven decisions across product, marketing, and merchant success teams.
Education
Degrees, certifications, and relevant coursework
University of the District of Columbia
Bachelor's Degree, Electrical and Electronics Engineering
2011 - 2015
Earned a Bachelor's degree in Electrical and Electronics Engineering from the University of the District of Columbia, completed in 2015.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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