Data Engineering · Data platform · AI Agents · Analytical Framework

Erica Wu

I’m a Data Engineer.

I turn complex data into trusted foundations, analytical results and forecasts to inform and drive business decisions.

Previously Netflix, PlayStation, and Apple. Now building at Visionary AI.

SCROLL TO EXPLORE ↓San Francisco Bay Area, CALIFORNIA
The person behind the platforms

About

Portrait of Erica Wu

Data Engineer & Architect

I’m a Data Engineer and Architect with 8+ years of experience building enterprise data models and large-scale batch and streaming platforms at Netflix, PlayStation, and Apple. I hold graduate degrees in Computer Science and Statistics.

I combine distributed systems and data modeling expertise with statistical rigor to turn marketing, financial, product, and commercial needs into end-to-end data solutions. I design governed ontologies and semantic models that establish shared business meaning across systems, AI agents, models, and people. At Visionary AI, I lead AI-enabled engineering workflows with human-defined objectives, auditable outputs, and clear human ownership of business decisions.

LocationSan Francisco Bay Area, California
EducationM.S. Computer Science · M.S. Statistics
FocusData engineering · Data platform · AI Agents · Analytical Framework
01 / Areas of Expertise

Areas of Expertise

From shared data definitions, data modeling to distributed systems and AI-enabled decision support.

Netflix · PlayStation · Apple

Data Modeling

Data Modeling for Content Finance, Talent Finance, and Revenue at Netflix, with governed semantic definitions for financial planning and executive reporting. At Playstation, designed data model for store growth data such as cohort and churn analysis. At Apple, designed OS data models and OLAP cubes supporting reports and services across teams.

Visionary AI · Netflix

Ontology and Semantic

Designed an ontology across content, evaluation, commercial, and governance domains at Visionary AI. With PROV-O lineage, it generates agent output schemas, dbt tests, and a shared glossary. At Netflix, created ontology of data definitions and governed semantic to unify data usages.

Netflix · PlayStation

Distributed Pipelines - Batch & Streaming

Built Spark batch pipelines processing financial records at Netflix and Kafka/Flink streaming pipelines handling PlayStation Store events. Designed storage layouts, data quality checks, observability, and recovery workflows for reliable analytics and personalization.

Visionary AI

End-to-End AI Agent Data Solutions

Built a Dagster-orchestrated platform with specialized agents spanning ingestion, content analysis, deterministic scoring, revenue forecasting, and decision dashboards. Combined schema validation, regression checks, and human approval checkpoints to keep outputs auditable and business decisions under human ownership.

Total Score & Decision dashboard screenshot
Total Score & Decision
Compliance Gate dashboard screenshot
Compliance Gate
AI Script Analysis dashboard screenshot
AI Script Analysis
Unified Scoring Standard dashboard screenshot
Unified Scoring Standard
Sample & Visual Evaluation dashboard screenshot
Sample & Visual Evaluation
Commercial Value Model dashboard screenshot
Commercial Value Model
02 / Experience

Resume

Full resume

Profile

Erica Wu

Data Engineer and Data Architect. Builds enterprise data models, batch and streaming platforms, governed ontologies, semantic models, and AI-enabled analytics with human oversight.

San Francisco Bay Area, California
xue.wu.erica@gmail.com

Education

M.S. Computer Science

University of California, Davis

M.S. Statistics

Data Science
University of California, Davis

Professional experience

2024—NOW

Visionary AI

Data Architect & Software Engineer, Data Platforms

JUL 2024 – PRESENT · REMOTE

Designed and built a multi-agent content evaluation platform for IP procurement, with Dagster orchestration, a 38-class ontology, deterministic dbt scoring, revenue forecasting, and human approval at five checkpoints.

End-to-end pipeline diagram for the Visionary AI platform
End-to-end pipeline
Data flow architecture diagram for the Visionary AI platform
Data flow architecture
2022—2024

Netflix

Senior Data Engineer

APR 2022 – MAY 2024

Cross-domain data modeling, batch and streaming pipelines, governed semantic models and ontologies, data platform reliability, and an interactive vendor-contract RAG system for legal and operations teams.

2020—2022

PlayStation

Data Engineer · Sony Interactive Entertainment

NOV 2020 – APR 2022

High-throughput telemetry, personalization datasets, promotion analytics, and automated quality and recovery workflows.

2018—2020

Apple

Software Engineer, Core OS

APR 2018 – NOV 2020

Built Xcode REST APIs serving 150K+ developers, modeled OS telemetry supporting 500+ reports and services across 30+ teams, and developed Spark and Airflow ETL pipelines for app telemetry from 20M+ devices.

03 / Technical expertise

Technical expertise

Hands-on engineering grounded in computer science and statistics.

Languages

Python · Scala · SQL · Java

Processing & orchestration

Apache Spark · Apache Flink · Kafka · Airflow · Dagster · dbt

Storage & modeling

S3 · Apache Iceberg · Snowflake · BigQuery · Enterprise data models · Semantic modeling · Ontologies

Trust & reliability

Data quality · Observability · PII controls · PROV-O lineage · Least-privilege access · Schema validation · Human approval

Analytics & AI

Regression · Clustering · Revenue forecasting · Model benchmarking · RAG · Vector embeddings · AI agents · Claude Code

Education

University of California, Davis
M.S. Computer Science
M.S. Statistics — Data Science

04 / Life outside the Data

Places, through lens

My four dogs

Meet my four dogs.

Rex

Rex

Regis

Regis

Arthur

Arthur

Ace

Ace

Let’s connect

Contact

Let’s build better data systems.

For data engineering and data architecture opportunities, get in touch.

xue.wu.erica@gmail.com · San Francisco Bay Area, California