Open to opportunities

Matthew WOODS

@matthewwoods

Message

Staff full-stack engineer driving scalable cloud-native systems and data pipelines.

United States

Message

What I'm looking for

I seek senior engineering roles where I can lead architecture for cloud-native, data-driven systems, mentor teams, and deliver measurable reliability and scalability gains in a collaborative, autonomous culture.

I am a detail-oriented staff full-stack engineer with extensive experience designing and implementing large-scale, cloud-native distributed systems and data platforms. I have led architecture and tech-lead efforts, built cell-aware pipelines and multi-tenant services using Spark, Kafka, Snowflake, Go, Node.js, Python, and React, and improved data freshness and latency for high-demand production systems.

I drive reliability, automation, and developer productivity through infrastructure-as-code, CI/CD, and standardized service frameworks, and I mentor engineers to raise cross-team engineering practices. My work has delivered measurable outcomes such as a 70% improvement in data freshness and over 40% reduction in cross-cell latency while enabling autonomous regional deployments.

Experience

Work history, roles, and key accomplishments

Current

Staff Full Stack Engineer

Current

DoorDash

Sep 2019 - Present (6 years 9 months)

Led cell-based platform initiatives as solutions architect and tech lead, designing cell-aware data pipelines and multi-tenant order state machines that improved data freshness by 70% and reduced cross-cell latency by over 40%.

Go Kafka Apache Spark Snowflake React TypeScript AWS Terraform

Senior Software Engineer

Databricks

Sep 2014 - Aug 2019 (4 years 11 months)

Built and optimized large-scale data infrastructure and ETL workflows using Scala and Spark, integrating Delta Lake and reducing build flakiness by 60% through CI improvements and dockerized test environments.