Nathan Bowling
@nathanbowling
I build GCP lakehouse platforms and real-time data pipelines.
What I'm looking for
I've built GCP lakehouse platforms at Mindoula and Acentra Health, using BigQuery, GCS, Python, PySpark, Kafka, Iceberg UniForm, and Delta Sharing to deliver governed data products across Snowflake and Databricks. At Mindoula, I reduced data retrieval latency by 40% and pipeline failures by 30% while enabling secure, zero-copy cross-platform analytics.
Earlier, I architected pipelines processing more than 500 million healthcare records and automated EHR ingestion to reduce manual preparation by 60%. I also mentor engineers, improve Spark performance, and work across product, data science, and infrastructure teams from requirements through production deployment.
Experience
Work history, roles, and key accomplishments
Cloud Data Engineer
Mindoula
May 2022 - Aug 2026 (4 years 3 months)
Designed and implemented a modern lakehouse architecture on GCP using BigQuery and GCS, reducing data retrieval latency by 40% through optimized partitioning and clustering strategies. Built Python and PySpark ingestion pipelines and developed Kafka-based CDC pipelines for near-real-time data ingestion.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Bachelor's Degree, Computer Science
Bachelor's Degree in Computer Science from The University of Texas at Austin.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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