Michael Reynolds
Principal Data Engineer - Analytic Engines
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Reynolds is a Principal Data Engineer based in New York with 11 years of software engineering experience building data-intensive systems and open-source tooling. He specializes in Apache Spark, streaming architectures and graph-backed knowledge systems, having led ETL and ingestion platforms for supply chain resilience and causal knowledge graphs applied to food security. Previously he architected streaming and rules-driven solutions for financial, insurance and healthcare customers at Red Hat and contributed to operationalizing Spark on Kubernetes. Comfortable across Python, Java, Kafka, Elasticsearch and multi-model databases like ArangoDB, he blends research-facing NLP and linguistics roots with pragmatic production engineering. Colleagues rely on him to translate complex domain needs into resilient pipelines and to drive analytic engines from prototype to scale.
11 years of coding experience
9 years of employment as a software developer
BA, Linguistics/Computer Science, BA, Linguistics/Computer Science at Montclair State University
Github Skills (200)
language-detection10
apache-spark10
entity-extraction10
python10
pyspark10
hadoop10
wavelet10
regression10
clustering10
spark-ml10
genetic-algorithm10
r10
big-data10
sentiment-analysis10
scale10
Programming languages (10)
Github contributions (5)
magi-platform/centos-jdk
Jul 2019 - Jun 2022
Bootstrap Centos image with JDK installed.
Contributions:14 PRs, 26 pushes, 9 branches in 2 years 11 months
bootstrapcentosinstalledjdk
reynoldsm88/scalatra-base
May 2019 - Sep 2022
Base skeleton for Scalatra microservice
Contributions:2 PRs, 14 pushes, 2 branches in 3 years 3 months
skeletonscalatraplay-frameworksbt-pluginscala3
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