Data Engineer

Matthew
Cleveland

Building and maintaining metrics
that matter — at scale.

Background

About

Data engineers build systems that make data trustworthy.
I studied Economics at UC Berkeley where I learned the best data drives the most important decisions.

I've spent the last four years on Instagram's Ecosystems team rebuilding metrics that drive company decisions — Time Spent, Sessions, DAU. When I arrived, our flagship metric was two days late almost every week. We unified logging sources, parallelized jobs from Presto to Spark, and cut latency from >48 hours to ~16.

Good data engineering isn't about speed — it's about trust. The best systems are the ones that quietly make other people's work easier.

Python SQL Spark Data Validation System Design Trillions of Events
Matthew Cleveland

Node Physics