Lee Harold is a Chicago-based Lead Data Engineer with 14 years of experience designing and delivering data-intensive, enterprise-grade software. He blends hands-on engineering with strategic leadership in cloud, DevOps, event-driven architectures, and domain-driven design. In his current role at Invenergy, he builds scalable data pipelines with Azure Data Factory and Databricks. At CDW, he improved search relevancy by consolidating B2B and B2C search into a single Fusion/SOLR implementation running on Kubernetes in Azure, with Spark-based multi-threaded data ingestion from MongoDB. A former integration architect at Accenture, he designed and led microservices-based systems using DDD, DynamoDB, pub-sub messaging, automated deployments, and a standard REST/OData reference architecture used by thousands of developers. He holds an MS in Information Systems from DePaul and a BA in Organizational Communication from Purdue, with a career spanning consulting, energy, and software leadership.
14 years of coding experience
25 years of employment as a software developer
Udi Dahan's Advanced Distributed Systems Design in New York City
MS, Information Systems, MS, Information Systems at DePaul University
BA, Organizational Communication, BA, Organizational Communication at Purdue University
With JayStack OData v4 Server you can build your own data endpoints without the hassle of implementing any protocol-level code. This framework binds OData v4 requests to your annotated controller functions, and compiles OData v4 compatible response. Clients can access services through OData-compliant HTTP requests. We recommend the JayData library for consuming OData v4 APIs.
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