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Hunter Starkey

@hunterstarkey1

Senior Data Engineer at DataBrig LLC who migrated 15TB+ to Snowflake and automated invoice processing with an ML pipeline.

United States

Message

At DataBrig LLC, I deployed a 15TB+ Snowflake ETL migration with Airflow-orchestrated ingestion from AWS S3. I also engineered a Python OCR pipeline that classifies 50,000+ invoices monthly, eliminating manual data entry and driving $4.2M in annual cost savings.

At McKesson Corporation, I modernized dbt pipelines for EMR and claims data and designed a Databricks lakehouse for healthcare analytics and ML. I also delivered a PostgreSQL Medication Tracker with a Java SDK and SMART on FHIR APIs.

At Intel Corporation, I developed Azure Data Factory pipelines for semiconductor operations and productionized equipment failure models that sustained 95% accuracy and prevented $3.2M in annual downtime. Earlier, at Frontline Analytics, I built data models and reporting pipelines for financial analytics, including a portfolio rebalancing engine.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer, Consultant

Current

DataBrig LLC

Oct 2025 - Present (1 year)

Deployed an end-to-end 15TB+ Snowflake ETL migration, architected financial data models for a Fortune 10 client's $3.8B acquisition, and engineered Python ML pipelines for invoice processing. Launched LLM-powered AI agents and established data governance for ML/AI deployments.

SQL Python Snowflake Airflow AWS S3 Lambda Terraform SAP Git LLM Power BI Sigma

Senior Data Engineer, Enterprise Analytics

McKesson Corporation

Jun 2023 - Oct 2025 (2 years 4 months)

Modernized dbt ELT pipelines for healthcare data, delivered a PostgreSQL Medication Tracker with Java SDK and SMART on FHIR APIs, and designed a Databricks lakehouse with PySpark and Delta Lake. Orchestrated ETL pipelines on GCP and implemented CI/CD for dbt and Sigma workflows.

SQL Java DBT Databricks PySpark PostgreSQL BigQuery GCP Sigma Docker Power BI NLP

Data Engineer

Intel Corporation

Oct 2020 - Jun 2023 (2 years 8 months)

Developed Python and SQL ETL pipelines in Azure Data Factory for semiconductor operations, productionized equipment failure models with MLflow, and standardized CI/CD pipelines with Git, Docker, and Kubernetes. Implemented Kafka streaming pipelines and built Snowflake SQL transformations for self-service dashboards.

Python SQL Snowflake DBT Kafka Spark Docker Kubernetes Azure Data Factory MLFlow Tableau

Data Analytics Engineer

Frontline Analytics

Jun 2018 - Oct 2020 (2 years 4 months)

Architected star-schema semantic models integrating Salesforce CRM and Oracle ERP, designed and automated SSIS ETL pipelines for financial reporting, and built an AWS data lake feeding Snowflake and Redshift. Implemented data governance and quality checks for compliance.