Skip to main content
W. Aaron Morris

W. Aaron Morris

Senior Data Engineer with 12+ years architecting scalable ETL/ELT pipelines

Talent
USMember since May 21, 2026
DatabricksDelta LakeETL/ELTDagsterChange Data CapturePythonSQLAWSS3LambdaTerraformDimensional ModelingNormalized Data ModelsLookerLookMLStreamlitDockerPipeline MonitoringAlerting SystemsFastAPISQLAlchemyPydanticBigQueryAlembicdbtGCPDuckDBKimball Methodology
·

Hire this person

Send a job offer directly to this candidate

DatabricksDelta LakeETL/ELTDagsterChange Data Capture

About

Senior Data Engineer with 12+ years architecting scalable ETL/ELT pipelines using Python, SQL, and cloud orchestration. Expert in Databricks-equivalent data architectures (Dagster) and dimensional modeling with AWS infrastructure management via Terraform.

Delivered measurable impact: 6-point loss ratio reduction through telematics pricing pipelines and led domain-oriented data mesh migration enabling governed cross-functional analytics. M.S.

Applied

Mathematics, Johns Hopkins. 3+ years optimizing pipeline performance, building automated monitoring systems, and establishing data engineering best practices.

Experience

Senior Data Engineer / Analytics Engineer at Just Insure (2022-01 – Present)

  • Managed AWS cloud services (Lambda, S3, managed databases, messaging) via Terraform infrastructure-as-code, scaling data engineering workloads and enabling governed data access for analytics teams
  • Architected scalable ETL/ELT workflows using Dagster orchestration for domain-oriented data mesh migration, establishing reliable data pipelines with automated materialization tracking and end-to-end lineage visibility across engineering, actuarial, and product teams
  • Designed high-performance ETL pipelines with Change Data Capture for real-time data ingestion and processing, optimizing performance and reducing latency for ML-based cost prediction models across demographic segments using Delta Lake-equivalent patterns

Senior Audit Analyst / IT Auditor at National General Insurance Company (2016-03 – 2021-12)

  • Set up robust pipeline orchestration and monitoring/alerting systems using Python-based ETL frameworks processing millions of records, establishing automated anomaly detection and continuous evaluation replacing manual quarterly processes
  • Built dimensional and normalized data models using Kimball methodology, consolidating multi-source enterprise data into unified analytical layer supporting cross-functional reporting and business-ready datasets for downstream analytics and decision-making

Business Intelligence Analyst at Rogue Credit Union (2015-03 – 2016-03)

  • Architected enterprise data warehouse following dimensional modeling best practices, enabling governed data access and self-service analytics dashboards for cross-functional business stakeholders across all organizational units

Audit Data Analyst at Direct General (2012-03 – 2015-03)

  • Established data engineering standards and best practices through automated analytical frameworks using SQL-based workflows, implementing version control and documentation standards enabling reusable processes across teams

Education

Master of Science in Applied and Computational Mathematics – Johns Hopkins University (2022-12)

Bachelor of Science in Information Technology – Trevecca Nazarene University (2013-05)

Reviews

Related