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Thomas Fields

@thomasfields

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Senior Data Engineer with 8+ years of experience

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering.

I am a Senior Data Engineer with over 8 years of experience designing scalable, reliable, and maintainable data platforms across various domains. My expertise lies in building cloud-native ETL pipelines, modeling complex datasets, and developing analytics-ready layers using tools such as dbt, Spark, and Airflow. I have a proven ability to collaborate effectively with cross-functional teams, produce clear documentation, and enhance data quality, system performance, and long-term maintainability.

In my current role at FedEx, I designed and deployed scalable data pipelines on Azure Databricks, leveraging Spark to process multi-terabyte delivery scan logs and real-time route telemetry. I developed Power BI–optimized semantic models in dbt and BigQuery, which power interactive dashboards used daily by regional operations managers. My work has significantly improved dashboard responsiveness and reduced average refresh times by over 50%.

Previously, at Flatiron Health, I built and maintained dbt models on Redshift to structure patient, encounter, and treatment data for oncology research, ensuring consistency across fragmented source systems. I also architected automated, HIPAA-compliant ETL pipelines using AWS Glue, S3, and Lambda, meeting audit and compliance requirements. My passion for data engineering drives me to continuously seek innovative solutions that enhance data accessibility and usability.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

FedEx

Oct 2022 - Present (2 years 9 months)

Designed and deployed scalable data pipelines on Azure Databricks, leveraging Spark to process multi-terabyte delivery scan logs and real-time route telemetry for the global logistics insights platform. Developed Power BI–optimized semantic models in dbt + BigQuery, powering interactive dashboards used daily by regional ops managers to monitor fleet efficiency and warehouse throughput.

Databricks Spark Power BI DBT BigQuery Apache Airflow Azure DevOps Confluence

Senior Data Engineer

Flatiron Health

Jul 2019 - Oct 2022 (3 years 3 months)

Built and maintained dbt models on Redshift to structure patient, encounter, and treatment data for Flatiron’s oncology research platform, powering dashboards used in trial design and regulatory reporting. Developed Spark-based batch pipelines in Databricks to ingest and normalize high-volume EHR and lab data from 30+ provider networks, ensuring consistency across fragmented source systems.

DBT Redshift Spark Databricks Apache Airflow AWS Glue S3 Lambda Great Expectations

Data Engineer

Stripe

Sep 2017 - Jul 2019 (1 year 10 months)

Rebuilt the revenue data modeling layer by migrating fragmented SQL logic into modular dbt models in Redshift, enabling consistent financial reporting and reducing maintenance workload. Developed and maintained Airflow DAGs to orchestrate payment lifecycle pipelines, with automated alerting and rollback capabilities to support finance-critical workflows.

SQL DBT Redshift Apache Airflow BigQuery Tableau Jira Slack

Education

Degrees, certifications, and relevant coursework

The University of Georgia

M.S., Applied Mathematics

2015 - 2017

Completed a Master of Science in Applied Mathematics, focusing on advanced mathematical concepts and their applications. Gained expertise in quantitative analysis and problem-solving relevant to various fields.

The University of Georgia

B.S., Statistics

2011 - 2015

Obtained a Bachelor of Science in Statistics, developing a strong foundation in statistical theory, data analysis, and research methodologies. Applied statistical principles to interpret complex datasets and draw meaningful conclusions.