Building systems that
move data forward

I'm a Principal Data Engineer with a focus on designing and building data platforms that scale. I work across the full data stack — from ingestion pipelines and stream processing to warehouse architecture and ML infrastructure.

What I Do

My day-to-day involves architecting data systems that handle terabyte-scale workloads reliably. I've built real-time pipelines with Kafka and Spark, designed lakehouse architectures on Delta Lake, and automated infrastructure with Terraform across AWS and GCP.

I care deeply about data quality, observability, and making data accessible to the teams that need it. A well-designed pipeline is one that the on-call engineer never has to think about.

Why I Write

This blog is where I share what I'm learning and building. I write about the practical side of data engineering — the patterns that work, the mistakes I've made, and the tools I reach for when the stakes are high. No fluff, just real experience from production systems.