Knowledge Fabric - Head Of Data Foundation
CurrentBuild your own data and analytics platform with b st of breed open source components on Kubernetes. Build a data and analytics delivery COE with FTE leads and contractor resource pool.
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@mmc.com
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3 phones found area 213, 400, and 212
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Gary Lu is listed as Knowledge Fabric - Head of Data Foundation at Marsh & McLennan Companies, based in Flemington, New Jersey, United States. AeroLeads shows a work email signal at mmc.com, phone signal with area code 213, 400, 212, and a matched LinkedIn profile for Gary Lu.
Gary Lu previously worked as IoT Big Data & Advanced Analytics at Honeywell and Managing Director at Datayes. Gary Lu holds Doctor Of Philosophy (Ph.D.), Geological & Geophysical Sciences from Princeton University.
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AeroLeads found 1 current-domain work email signal for Gary Lu. Compare company email patterns before reaching out.
Democratize your data and analytics: Build your own data lake on Kubernetes with best of breed open source components: a software defined data lake storage (such as MinIO), a high performance query/federation engine (such as Dremio), and a powerful analytic engine (such as Spark). A user can access each of the 3 layers separately with self-service, or combine them as an integrated platform to ingest, curate, and analyze your data.
Listed skills include It Strategy, Enterprise Architecture, Management, Cloud Computing, and 10 others.
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New York, Ny, Us
Build your own data and analytics platform with b st of breed open source components on Kubernetes. Build a data and analytics delivery COE with FTE leads and contractor resource pool.
Charlotte, North Carolina, Us
• As a lead architect and engineer of the platform team, designed and built Sentience Industrial IoT big data analytics platform based on Microsoft Azure stack.• Built Sentience data lake based on HDInsight, Azure’s Hadoop PaaS with Hortonworks Data Platform at its core, and Azure Blob storage (WASB) as HDFS layer• Built data ingestion layer with tools including Apache NiFi, Spark, Flume, Sqoop and Azure Data Factory that can ingest large volume of IoT devices data, reference data and enterprise data from cloud and on premise data sources.• Built data processing pipelines with NiFi, Spark, Kafka and Azure Event Hub to process large volume of data and move between Azure Blob storage, Hive, and NoSQL data stores (Hbase, OpenTSDB, MongoDB)• Built sandboxes for data scientists to prepare data, experiment and build machine learning models with Python, PySpark, R, SparkR, Jupyter/Zeppelin notebooks, RStudio.• Developed ML Frameworks to operationalize machine learning models with 4 deployment modes: Python as Web service, R as Web service, Python on Spark, R on Spark• Set up data governance utilities, including Waterline data catalog for data classification, AD/Ranger based access control, and process for GDPR compliance• Exploration of building Data Engineer Workbench and Data Scientist Workbench to enable self-services for citizen data stewards and data scientists
Shanghai, Cn
Head of IT infrastructure & supportHead of Asset Management Cloud product lineChief Data Architect
New York, New York, Us
Global Lead of Applied EngineeringGlobal Functional Head of DBA Support, CIB
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Gary Lu works for Marsh & McLennan Companies.
Gary Lu is listed as Knowledge Fabric - Head of Data Foundation at Marsh & McLennan Companies.
AeroLeads has found 1 work email signal at @mmc.com for Gary Lu at Marsh & McLennan Companies.
AeroLeads has found 3 phone signal(s) with area code 213, 400, 212 for Gary Lu at Marsh & McLennan Companies.
Gary Lu is based in Flemington, New Jersey, United States while working with Marsh & McLennan Companies.
Gary Lu has worked for Marsh & Mclennan Companies, Honeywell, Datayes, Citi, and Aig.
You can use AeroLeads to view verified contact signals for Gary Lu at Marsh & McLennan Companies, including work email, phone, and LinkedIn data when available.
Gary Lu holds Doctor Of Philosophy (Ph.D.), Geological & Geophysical Sciences from Princeton University.
Gary Lu is listed with skills including It Strategy, Enterprise Architecture, Management, Cloud Computing, Disaster Recovery, Software Development, Big Data, and Data Warehousing.
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