Lee聽Harold

Lead Data Engineer

Chicago, Illinois, United States
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Summary

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Senior
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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.
code14 years of coding experience
job25 years of employment as a software developer
bookUdi Dahan's Advanced Distributed Systems Design in New York City
bookMS, Information Systems, MS, Information Systems at DePaul University
bookBA, Organizational Communication, BA, Organizational Communication at Purdue University
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Stackoverflow

Stats
1,147reputation
134kreached
20answers
4questions
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Github Skills (99)

python-client10
redis-client10
solr10
redis10
redis-cluster10
dotnet9
odata9
solrnet9
python9
odata-v49
redis-search9
c-sharp9
redis-py9
redisearch9
azure-notification-hubs9

Programming languages (4)

C#TypeScriptJavaScriptPython

Github contributions (5)

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LCHarold/linq2dynamodb

Jan 2016 - Mar 2019

Contributions:4 pushes in 3 years 2 months
memoryawslinqdata-contextcombine
LCHarold/odata-v4-server

Apr 2018 - Sep 2018

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.
Contributions:6 pushes, 5 branches in 4 months
http-requestscontrollercompliantendpointsown-your-data
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Lee Harold - Lead Data Engineer