Hubert Dulay
Partner Advocate
Town of New Paltz, New York, United States
Summary
👤
Senior🎓
Top SchoolHubert Dulay is a senior solutions engineer and streaming data expert with 13 years of hands-on experience building highly distributed, parallel systems and 20+ years in engineering roles. He’s the O’Reilly author of Streaming Data Mesh and is writing a follow-up on streaming databases, blending deep technical authorship with field-facing advocacy. Hubert has driven real-time platform adoption at Confluent, Ververica and other vendors, earning regional sales engineering honors while architecting production Flink, Spark, Kafka and Pinot pipelines. His open-source and demo work includes full-stack integrations for Confluent’s demo-scene—everything from IBM MQ and Azure sink connectors to Java UDFs for ML-based anomaly detection and OSQuery-driven SIEM workflows. Based in New Paltz, NY, he pairs low-level engineering (Scala, Java, Python) with developer advocacy and partner enablement, uniquely bridging product, field, and community. An early-career background in microbiology hints at a methodical, data-driven approach to system design and troubleshooting.
13 years of coding experience
22 years of employment as a software developer
bs microbiology, bs microbiology at The Ohio State University
Stackoverflow
21reputation
2kreached
1answer
2questions
Github Skills (29)
kafka10
java10
javas10
devops10
dockers9
python9
machine-learning9
docker9
ibm-mq8
ksqldb8
amazon-elasticsearch7
debezium7
aws-elasticsearch7
elasticsearchquery7
demoscene7
Programming languages (8)
Github contributions (5)
confluentinc/demo-scene
Oct 2019 - Dec 2019
Scripts and samples to support Confluent Demos, Talks, and Blogs. Not all of the examples in this repository are kept up to date. For automated tutorials and QA'd code, see https://github.com/confluentinc/tutorials/
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:33 commits, 6 PRs, 3 comments in 1 month
Contributions summary:Hubert's contributions involve setting up and configuring IBM MQ integration, as demonstrated by the `ibmmq demo` commits, including changes to KSQL scripts. They also implemented and integrated new features by merging branches, specifically the `azure-sqldw-sink-connector`. Further commits include the setup of Kafka OSQuery and KSQL functions, including Java UDF for anomaly detection using machine learning, including the use of Mallet. The user also worked with the OSQuery extension and Jupyter notebooks for monitoring processes, implementing a full stack setup for seamless SIEM.
roughkafka-connectconfluentincsyslogelasticsearch
decodableco/examples
Apr 2022 - Dec 2022
🌟 Examples of use cases that utilize Decodable, as well as demos for related open-source projects such as Apache Flink, Debezium, and Postgres.
Contributions:135 commits, 114 pushes, 1 branch in 7 months
casesstream-processinguse-casesstreaming-datastreams
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