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David Wise

@davidwise1

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I build scalable cloud data pipelines, real-time streaming systems, and reliable analytics platforms.

United States

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What I'm looking for

I'm looking to build scalable, reliable cloud data platforms, lead data engineering initiatives, improve data quality and accessibility, and mentor engineers in a collaborative, fast-paced environment.

At Particle Health, I build and optimize ETL pipelines with Apache Airflow, AWS Glue, Lambda, Snowflake, Kafka, Spark, and dbt to support real-time analytics, stronger data quality, and reliable healthcare data applications.

I've led data engineering work across Tability, MANTL, and Credera, including cloud warehouse migrations, data lake implementation, streaming ingestion, governance, metadata management, and performance monitoring. My work spans AWS, Azure, GCP, Redshift, PostgreSQL, Hadoop, Apache NiFi, Prometheus, Grafana, Python, SQL, and Scala.

I enjoy partnering with analysts, data scientists, DevOps teams, and stakeholders to make data more accessible and trustworthy. I also mentor junior engineers and improve documentation, deployment practices, and data lineage.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Particle Health

Dec 2024 - May 2026 (1 year 5 months)

Developed and optimized complex ETL pipelines using Apache Airflow and AWS Glue, reducing data processing time and achieving real-time analytics. Designed robust data models in Snowflake and leveraged Kafka for real-time streaming, while mentoring junior engineers and implementing data governance.