Open to opportunities

Casey Dart

@caseydart1

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Staff Data Engineer building lakehouses and real-time streaming pipelines that power ML personalization and fraud risk.

United States

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What I'm looking for

I’m looking for a Staff/Senior data engineering role where I can build lakehouse platforms and real-time streaming pipelines, own governance and security, optimize costs, and mentor teams to deliver ML-ready data products.

I’m a Staff Data Engineer who leads end-to-end data platform development, with a focus on scalable lakehouse architectures and high-impact business use cases. At American Express, I drove the Amex Unified Data Lakehouse (Databricks + Snowflake), consolidating 20+ data domains and processing 25TB+ of transaction and customer data daily.

I architected the Rewards Intelligence Platform by integrating behavioral data with ML feature pipelines to optimize cardholder rewards. This work increased engagement by 18% and strengthened the path from raw events to production-ready intelligence.

I also design real-time fraud detection pipelines using Kafka + Spark Structured Streaming, handling millions of transactions per minute with sub-second latency. To accelerate delivery, I built scalable ELT frameworks with dbt + Airflow, moving data from batch to near real-time while improving reliability.

I prioritize governance, security, and cost efficiency—implementing Unity Catalog, encryption, and IAM to ensure PCI compliance and secure multi-tenant access. I’ve mentored 8+ engineers and led lakehouse adoption standards, and earlier roles include HIPAA-compliant Medicare analytics and migrating legacy on-prem Hadoop to cloud-based Spark pipelines (reducing processing time by 50%).

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

American Express

Feb 2022 - Present (4 years 3 months)

Led development of Amex Unified Data Lakehouse (Databricks + Snowflake), consolidating 20+ data domains and processing 25TB+ daily transactions and customer data for real-time risk and personalization use cases. Architected rewards and fraud intelligence platforms using Kafka + Spark streaming, achieving sub-second latency, increasing engagement by 18%, and reducing compute cost by 30%.

Unity Catalog Delta Lake Terraform Databricks Snowflake Pyspark Kafka Spark Structured Streaming DBT Airflow

Senior Data Engineer

Humana

Jan 2015 - Apr 2020 (5 years 3 months)

Led development of the Medicare Analytics Platform processing large-scale claims and patient data for value-based care, including HIPAA-compliant ETL for EHR, claims, and pharmacy. Migrated legacy on-prem Hadoop to cloud Spark pipelines, improving scalability and reducing processing time by 50%, and implemented data quality validation plus ML model productionization for patient risk stratification

ETL Apache Spark Hadoop SQL HIPAA compliance Data Quality Data Modeling Data Validation

Data Engineer

Bank of Montreal

May 2011 - Jan 2015 (3 years 8 months)

Built ETL pipelines and data warehouse solutions supporting banking risk, compliance, and financial reporting, including cross-border data integration. Optimized database performance and query execution for large-scale financial datasets while supporting regulatory reporting and audit processes and delivering credit risk and customer segmentation insights.