Gin Young
ETL Integration Migration Cloud Tester@ Ministry of Education
Wellington, Wellington Region, New Zealand
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Gin Young is an experienced IT professional with 27.9 years of work experience. He has a strong skill set in ETL, Oracle, data warehousing, PL/SQL, and Informatica. Based in Wellington, New Zealand, Gin has worked at Oracle Corp for over two decades, starting as an Oracle Data Warehouse ETL & performance tuning specialist. He has also gained valuable experience at ACC analytics project, where he gained Cloudera Certification in Hadoop and Spark. Gin's expertise lies in Cloud/Hadoop/Spark, and he has also gained experience in AWS, S3, EC2 and EMR.
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Emails and Phone Numbers

@corelogic.co.nz
@acc.co.nz
+64 080010****
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About

My IT career started at Oracle Corp in 1995 as a graduate, I had so much learning, fun and challenges in all things Oracle. I was an Oracle Data Warehouse ETL & performance tuning specialist. Twenty two years of Oracle experience. Eighteen years of ETL Data Warehouse business intelligence experience. ETL, Data Warehouse SQL and performance tuning was my thing.As the IT landscape trending to the Cloud. I joined ACC analytics project to learn Cloud and Hadoop technologies. During the course of my time in ACC, I have learned Cloud/Hadoop/Spark skills. The experience at ACC have helped me gaining Cloudera Certification in Hadoop and Spark. In addition, working in BNZ on AWS, S3, EC2 and EMR have really been an enjoyable experience. The work experience at BNZ further enhance my skillset for Spark/python.

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Work Experience

Education Administration Programs

47527
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Gin Young's Professional Milestones

  • business and data warehouse test analyst (2017-07-01~): Optimized data warehouse processes, enhancing efficiency and accuracy in data testing.
  • Oracle Developer (1998-08-01~1998-12-01): Developed complex Oracle applications, optimizing performance and enhancing the overall system performance.
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Education

Victoria University of Wellington
Victoria University of Wellington

Mathematics And Statistics, Economics, Money And Finance