Perry Perkins

I’m a Senior Data Engineer with 10+ years building and scaling cloud-native data platforms across Cognizant, DoorDash, Lyft, and Pinterest. I specialize in lakehouse architectures, real-time streaming pipelines, and distributed data processing that reliably support ML-ready analytics. In my recent work at Cognizant, I led enterprise data estate migrations to Snowflake—automating migration, code conversion, and development workflows to accelerate cloud modernization and AI-driven analytics. I designed Databricks Delta Lake and Snowflake lakehouse architectures using bronze/silver/gold medallion frameworks, and built high-throughput Kafka + Spark Structured Streaming pipelines for personalization, forecasting, and predictive use cases. I also modernized analytics transformations with dbt and orchestrated complex workflows using Airflow, improving data quality, governance, observability, and SLA reliability. Across DoorDash and Lyft, I designed unified lakehouse architectures, optimized Spark ETL at scale, and developed feature engineering pipelines that connect batch and streaming datasets—so teams can iterate faster and deploy recommendation and predictive models with confidence.