Christopher Stewart

I’m a Senior Data Engineer who’s spent 10+ years building batch and streaming systems that power real-time pricing and personalization. At Airbnb (2017–Present), I developed a “Dynamic Pricing Intelligence Platform” processing 15B+ monthly booking and supply events using Spark Structured Streaming, Kafka, and AWS EMR to increase host revenue by 12%.

I also architected a “Search Ranking Feature Store” with Databricks, Delta Lake, and Redis, delivering near-real-time feature serving and reducing search latency by 38% while improving booking conversion by 6%. I’ve engineered Lakehouse architectures on S3 + Databricks, migrated Hive-based pipelines to Airflow + dbt, and built fraud-detection-ready ingestion pipelines with Kafka, Flink, and Kinesis at sub-5-second latency—backed by data quality and observability frameworks that reach 99.95% SLA compliance.