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Harrison Ray

@harrisonray

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Lead Data Engineer delivering scalable, compliant, cost-efficient data platforms.

United States

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What I'm looking for

I seek roles building scalable, secure data platforms where I can lead engineering, improve performance, implement governance, and enable real-time analytics.

I am a Lead Data Engineer with 9+ years of experience designing and optimizing large-scale data platforms across cloud and on-prem environments, focused on reducing latency, cutting costs, and enabling real-time analytics. I have led engineering teams, implemented governance and HIPAA-compliant monitoring, and delivered secure, scalable solutions using Python, SQL, Databricks, Azure, and BigQuery.

My work includes architecting ELT pipelines processing 15+ TB daily, standardizing data models across Synapse and multi-cloud platforms, building CI/CD for Databricks and Fabric, and improving query performance and release cycles substantially. I am passionate about mentoring engineers, driving measurable business value, and building high-performance data systems for enterprise clients.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Sphere Studio

Jan 2020 - Present (6 years 5 months)

Architected ELT pipelines and directed an 8-engineer team to process 15+ TB daily, cutting data latency by 40% and cloud spend by 25% while enabling real-time analytics for enterprise clients.

Python Pyspark Azure Databricks Airflow Delta Lake Azure Synapse CI CD

Senior Data Engineer

Ingoude Company

Jan 2015 - Jan 2020 (5 years)

Optimized BigQuery and Snowflake analytics with dbt and automated Kafka/API ingestion, improving query performance by 35% and reducing pipeline runtimes by 50%.

BigQuery Snowflake DBT Kafka Terraform Azure Data Factory CI CD Python

Data Engineer

Timmerman Industries

Jan 2012 - Jan 2015 (3 years)

Built high-throughput Spark, Kafka, and AWS Glue pipelines processing 2M+ records/hour, integrated HL7/FHIR for HIPAA-compliant healthcare analytics, and reduced ETL runtime from 8h to 5h.

Apache Spark Kafka AWS Glue SQL Python HL7 FHIR Monitoring