Data engineer · ML & analytics

I build data systems that stay useful when the happy path breaks.

John Zargaryan is a data engineer focused on reliable pipelines, observable systems, and decisions backed by trustworthy data.

Explore projects

01 / Projects

Projects with the decisions, tradeoffs, and evidence left in.

01Data platform · Featured

ClusterPulse

A production-style telemetry platform that turns synthetic AI-cluster events into trusted reliability and capacity insights.

Open the full case study

ClusterPulse dashboard showing GPU utilization, temperature, incidents, and cluster health

Live data-product view · Synthetic telemetry

02 / Experience

Building dependable data systems in real teams.

Amazon

Data Engineer Intern

Worked on financial data quality and anomaly-detection systems within AWS production engineering workflows.

May — Aug 2026Seattle, WA

HumanGood

Data Engineer Intern

Built and improved cloud data pipelines and automated ingestion workflows for internal reporting.

Jun — Sep 2025Duarte, CA

03 / Toolkit

Tools I work with

Python◆SQL◆PySpark◆Airflow◆AWS◆Kafka◆Docker◆dbt◆Java◆Scala◆PyTorch◆Kubernetes◆

04 / Profile

Education

2026 — 2027

University of Southern California

MS in Applied Data Science · GPA 4.0

2023 — 2025

California State Polytechnic University, Pomona

BS in Economics · GPA 3.82

Certifications

AWS

Certified Cloud Practitioner

AWS

Data Engineer — Associate

05 / About

Engineering is the craft. Clarity is the deliverable.

Based in Burbank, California, John brings together data engineering, applied data science, and economics to build systems that are reliable, understandable, and useful.