01
Amazon
Data Engineer Intern
Built financial anomaly detection and AI investigation workflows using Athena, Glue, and Claude Sonnet to help engineers trace allocation issues.
Software & Data Engineering
Reliable data.
Useful systems.
I’m John Zargaryan, a software and data engineer building reliable pipelines, observable platforms, and practical applications.
Software Engineering / Data Engineering / ML & Analytics
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From raw data to clear decisions.
01 / Projects
Projects with the decisions, tradeoffs, and evidence left in.
01Data platform · Featured
ClusterPulse
A telemetry platform combining software and data engineering: system design, automated testing, Docker, and reliable pipelines for synthetic AI-cluster events.
Open the full case study
Live data-product view · Synthetic telemetry02Simulation & test investigation
AeroTest Copilot
A C++ simulation workbench with Python requirement checks, telemetry charts, and evidence-linked scripted investigations.
Explore the interactive dashboard
Interactive recorded runs · Four fault scenarios02 / Experience
Building dependable data systems in real teams.
02
HumanGood
Data Engineer Intern
Streamlined AWS Glue and Lambda pipelines and automated data ingestion into Redshift using S3 for internal reporting.
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
Certified Cloud Practitioner
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.