Killian Prue

Beaverton,OR

Summary

Junior Data / Analytics Engineer with a strong foundation in manufacturing systems and hands-on experience building ETL pipelines, analytics-ready databases, and automated reporting solutions. Proficient in Python and SQL for transforming MES and operational data into reliable datasets used for capacity modeling, KPI reporting, and exploratory analytics. Background in semiconductor manufacturing with applied experience using machine learning and AI-assisted techniques to analyze structured and unstructured operational data.

Overview

years of professional experience

Work History

Senior Industrial Engineer

Analog Devices

Beaverton, OR

09.2023 - Current

Designed and implemented ETL pipelines to extract data from Manufacturing Execution Systems (MES), transform it into analytics-ready formats, and load it into custom Oracle SQL schemas.
Re-architected database models to support scalable capacity modeling and near–real-time operational reporting using Python.
Built automated Python-based reporting and alerting workflows on top of integrated manufacturing and planning data, improving data consistency, cross-team visibility, and response to operational issues.
Applied unsupervised machine learning techniques (K-Means clustering, PCA) to analyze inventory distributions and identify throughput constraints.
Deployed and evaluated Azure GPT-4 models to classify unstructured maintenance logs and support root-cause analysis of recurring equipment issues.
Managed a Pinecone vector database to enable semantic retrieval and improve the relevance of AI-driven analytics workflows.

Process Engineer

Analog Devices, Inc.

Beaverton, OR

03.2022 - 09.2023

Supported qualification and installation of advanced ion implantation systems during fab expansion, validating performance against operational benchmarks.
Analyzed production, equipment, and quality data to identify root causes of yield and reliability issues and inform process improvements.
Applied statistical analysis and continuous improvement methodologies to enhance manufacturing efficiency and product quality.
Collaborated cross-functionally with equipment, manufacturing, and systems teams to support technology transfer and data-informed operational decisions.

Education

Bachelor of Science - Physics

Austin Peay State University

Clarksville, TN

12-2021

Skills

Data Engineering & AnalyticsPython, Oracle SQL, ETL / ELT Pipelines, Data Modeling, Schema Design, Data Validation & Quality Checks, Automated Reporting, KPI Development

Machine Learning & AIUnsupervised Learning (K-Means, PCA), Feature Engineering, GPT-4 (Azure) for Text Classification, Vector Embeddings, Semantic Retrieval, Pinecone

Cloud & BackendAWS (S3, RDS, EC2/Lambda exposure), REST APIs, TypeScript, NestJS

Frontend & Internal ToolsAngular, NgRx

Developer ToolsGit

Timeline