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Charles Hamilton

@charleshamilton

Senior Data Engineer at FedEx who engineered Kafka clusters processing 30,000 shipment events per second.

At FedEx, I engineered production Kafka clusters handling 30,000 shipment events per second, tuning partitions, replication, and consumer groups to support scalable shipment event processing.

I also developed Apache Flink pipelines for 15-minute operational refresh cycles and implemented Kafka Connect workflows for dependable shipment event delivery.

At Lowe's Companies, Inc., I designed retail data integration processing over 250 GB daily and developed Kafka applications connecting eight source systems with analytics workflows.

Earlier at Elevance Health, I analyzed healthcare datasets and built SQL ETL workflows processing two million records daily. I also developed Tableau and Power BI dashboards for claims and operational performance.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

FedEx

May 2024 - Present (2 years 5 months)

Architected Kafka-based shipment event streaming architecture targeting 12% lower delivery latency and engineered production Kafka clusters handling 30,000 events per second. Implemented Kafka Connect ingestion workflows, developed Apache Flink stream processing pipelines, and strengthened enterprise Kafka security controls.

Kafka Confluent Platform Kafka Connect API Schema Registry Avro Apache Flink Terraform Ansible Python BASH Prometheus Grafana SASL TLS MTLS RBAC ACLs Disaster Recovery High Availability

Data Engineer

Lowe's Companies, Inc.

Apr 2015 - May 2020 (5 years 1 month)

Designed distributed retail data integration architecture processing over 250 GB daily, combining SQL Server, Apache Kafka, and Spark. Developed Kafka producer and consumer applications, optimized ETL processing, and built SQL Server analytical data models.

Kafka Apache Spark SQL Server ETL Kafka Connect API JDBC Python BASH Git Data Modeling Performance Optimization

Data Analyst

Elevance Health

Oct 2009 - Apr 2015 (5 years 6 months)

Analyzed healthcare operational datasets using SQL, Python, and R, contributing to a 20% improvement in process efficiency. Developed SQL-based ETL workflows processing 2 million healthcare records daily and built interactive Tableau and Power BI dashboards.