TUThomas User
@thomasuser5
Senior Data Engineer with 8+ years of experience in data platforms.
United StatesWhat I'm looking for
I am a Senior Data Engineer with over 8 years of experience in designing scalable, reliable, and maintainable data platforms across various domains. Currently, I work at FedEx, where I have successfully designed and deployed scalable data pipelines on Azure Databricks, leveraging Spark to process multi-terabyte delivery scan logs and real-time route telemetry for our global logistics insights platform.
My expertise extends to developing Power BI-optimized semantic models in dbt and BigQuery, which power interactive dashboards used daily by regional operations managers. I have built SLA-driven orchestration workflows using Apache Airflow, ensuring high pipeline reliability through integrated quality checks and alerting. My collaborative efforts with BI engineers have significantly improved dashboard responsiveness, reducing refresh times by over 50%.
Throughout my career, I have demonstrated a proven ability to collaborate effectively with cross-functional teams, produce clear documentation, and enhance data quality, system performance, and long-term maintainability. I am passionate about leveraging data to drive insights and improve operational efficiency.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
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.
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.
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.
Education
Degrees, certifications, and relevant coursework
TGThe University of Georgia
Bachelor's Degree, Computer Science
2013 - 2017
Obtained a Bachelor of Science in Computer Science. Gained a strong foundation in statistical analysis and data interpretation.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
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