Open to opportunities

Jamie McElhiney

@jamiemcelhiney

Message

Data engineer and NLP-focused analytics engineer building production AI and data pipelines.

United States

Message

What I'm looking for

I am seeking an engineering role building production data and ML pipelines (NLP/GenAI) at a company focused on scalable, secure systems and data-driven product impact.

I am a data engineer and analytics engineer with deep experience building end-to-end production pipelines, NLP systems, and GenAI/RAG applications using cloud platforms and modern data tooling.

My work has included automating daily pipelines processing data for 20M+ companies, developing OCR and NER systems for legal and financial documents, and integrating ML components into Airflow, dbt, Snowflake, BigQuery, and Vertex AI to deliver real-time insights for stakeholders.

I prioritize secure, maintainable architectures—employing managed identities, credential-less authentication, and scalable cloud services—and I enjoy translating complex data sources into dashboards and models that drive data-driven decisions.

Experience

Work history, roles, and key accomplishments

Data Engineer

Digital Divide Data

May 2023 - May 2025 (2 years)

Built secure Azure data pipelines integrating Outlook Server, Azure Function Apps, and PostgreSQL for financial data retrieval and PowerBI visualization; developed OCR and NLP pipelines to digitize and normalize scanned Defense Authorization and Appropriations bills into unified datasets for dashboards.

Azure Data Factory Azure Functions PostgreSQL NLTK Power BI ETL Data Pipelines

Analytics Engineer

Cyndx

Nov 2021 - May 2023 (1 year 6 months)

Built and maintained AI data pipelines (dbt, Airflow, BigQuery) processing data for 20M+ companies to deliver real-time sentiment, classifications, financial metrics, and patent intelligence, enabling data-driven investment decisions; implemented NER pipelines for SEC EDGAR filings and productionized GenAI RAG architectures.

DBT Airflow BigQuery Python Snowflake AWS GCP)Vertex AI NLP NER

Data Science Instructor

General Assembly

Oct 2019 - Mar 2020 (5 months)

Developed and delivered data analytics and computer vision curriculum emphasizing data cleaning, visualization, and CNN/object detection workflows; evaluated student projects and taught statistical diagnostics and modeling assumptions.

CNN YOLO Data Cleaning Data Visualization Teaching Python SQL Computer Vision

Data Analyst

TransPerfect Legal Solutions

Sep 2017 - Aug 2019 (1 year 11 months)

Maintained and refactored MSSQL ETL scripts for legal metadata extraction across 10M+ row datasets, reducing pipeline runtime by 30% and improving data quality through validation and client-facing reporting.

MSSQL ETL SQL Optimization Data Quality Reporting

Education

Degrees, certifications, and relevant coursework

Syracuse University

Master of Science, Data Science (Concentration in Natural Language Processing)

2020 - 2021

Completed a Master of Science in Data Science with a concentration in Natural Language Processing and coursework in applied machine learning, scripting for data analysis, NLP, and text mining.

Connecticut College

Bachelor of Arts, Mathematics (Concentration in Statistics)

2012 - 2017

Completed a Bachelor of Arts in Mathematics with a concentration in Statistics, covering coursework in regression, data structures, probability, differential geometry, and abstract algebra.