David Johnson

I am a Senior AI Data Engineer with over a decade designing and operating distributed data systems for blockchain marketplaces, high-growth SaaS analytics, and cloud-native AI infrastructures. I focus on building real-time, reliable pipelines and feature stores that enable actionable intelligence for product and trading platforms.

At Courtyard.io I architected the core data backbone for a tokenized collectibles marketplace, integrating on-chain events, custodial vaults, and fiat processors while delivering AI-driven pricing intelligence and compliance workflows. I built hybrid Web2/Web3 reconciliation, anomaly detection, and low-latency analytics that improved visibility and stabilized marketplace volatility.

Previously at Mixpanel and Druva I scaled event ingestion systems to billions of events, implemented AI-ready feature pipelines, and migrated legacy ETL to Spark-based distributed workflows—reducing processing windows and query costs while enforcing secure multi-tenant data isolation. I optimize storage, partitioning, and query strategies to lower latency and cost across multi-terabyte datasets.

Technically, I am skilled in Spark, Kafka, Snowflake, Databricks, PySpark, MLflow, and cloud platforms (AWS) and I emphasize robust governance, compliance, and reproducible ML pipelines. I bring a pragmatic, product-oriented approach to data engineering that balances performance, security, and business impact.