Scott Guman Email & Phone Number | Big Data product, strategy, and operations manager. Proven track record building and managing high-performing, accountable data quality management teams in rapid growth environments. Analytical, forward-thinking manager who excels in ambiguity, leveraging influence building and systems strengths to communicate complex concepts to developers, end users, business users, and clients at all levels of leadership. Tools and skills include: - SQL Developer and traditional RDBMS - Hortonworks DataFlow platform (NiFi, Kafka, Storm, Druid, etc.) - Apache Hadoop Big Data Stack/Tools (Ambari, Sqoop, HDFS, HBase, Hive/HiveQL, Pig etc.) - Azure and AWS cloud platforms and tools, chiefly Azure HDInsight - Informatica PowerCenter, Developer, IDQ, Analyst - Looker -Google Cloud platform (BigQuery, Cloud Composer, Dataflow) - Visual Studio

Scott Guman

Big Data product, strategy, and operations manager. Proven track record building and managing high-p...
403 Spring Street, Bethlehem, United States

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Scott Guman’s Phone Numbers +1 866-932-****

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Scott Guman’s Location 403 Spring Street, Bethlehem, United States

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Scott Guman’s Prior Industry Hearst Magazines Digital Media | Honeywell International | Creditsafe Usa

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Senior Data Acquisition Manager

2020-08-01 00:00:00 - Present

Product Manager

2019-02-01 00:00:00 - 2020-08-01 00:00:00

Data Manager

2016-10-01 00:00:00 - 2019-02-01 00:00:00

US Data Manager

2015-03-01 00:00:00 - 2016-10-01 00:00:00

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Scott Guman is a Big Data product, strategy, and operations manager. Proven track record building and managing high-performing, accountable data quality management teams in rapid growth environments. Analytical, forward-thinking manager who excels in ambiguity, leveraging influence building and systems strengths to communicate complex concepts to developers, end users, business users, and clients at all levels of leadership. Tools and skills include: - SQL Developer and traditional RDBMS - Hortonworks DataFlow platform (NiFi, Kafka, Storm, Druid, etc.) - Apache Hadoop Big Data Stack/Tools (Ambari, Sqoop, HDFS, HBase, Hive/HiveQL, Pig etc.) - Azure and AWS cloud platforms and tools, chiefly Azure HDInsight - Informatica PowerCenter, Developer, IDQ, Analyst - Looker -Google Cloud platform (BigQuery, Cloud Composer, Dataflow) - Visual Studio - Advanced Microsoft Office