Glen Mules

About Glen Mules

Completed my Ph.D. in Education at Walden University in 2014. I previously did my MSc in Computer Science in the University of Birmingham and my BSc in Mathematics at the University of Adelaide, South Australia.I am these days best characterized perhaps as a Data Scientist. But primarily an Instructor / Educator, involved with teaching, course development, and instructor enablement. Retired from IBM Analytics in 2015. Now an academic - Adjunct Professor at Iona College, New Rochelle, NY & an Instructor (online) with San Jose State University, San Jose, CA - but occasionally teach Workshops for IBM Skills Initiative (IBM Dubai) and Courses for IBM Global Training Partners (GTPs) in Big Data technologies and related.Certified IBM Data Architect - Big Data.Certified IBM Data Engineer - Big Data.Badges (Acclaim by Pearson):Big Data Engineer -Explorer Award for Professionals 2018Big Data Engineer - Mastery Award for Professionals 2018Big Data Engineer - Author Award for Professionals 2018Big Data Engineer - Instructor Award for Professionals 2018My teaching has been both Academic (San Jose State University, San Jose, CA & Iona College, New Rochelle, NY) for semester-long courses PLUS Corporate, generally 5-day workshops on-site. Workshops and Courses have also being taught using Content Management Systems (CMS) and related software such as Canvas, Blackboard, Panopto, and Camtasia.I have taught 5-day Corporate (and Academic) workshops in, among others, New Delhi, Mumbai, Bengaluru, Beijing, Hong Kong, Seoul, Tokyo, Sydney, Santiago, Bogotá, Lima, Sao Paolo, Mexico City, Vancouver, Toronto, London, Paris, Hamburg, Frankfurt, Milan, Budapest, Cairo, Dubai, Abu Dhabi, Istanbul, Riyadh, Jeddah, Yerevan, Johannesburg, and Cape Town - as well as most major cities in the United States. The majority of these workshops were taught as a Senior Instructor and Principal Consultant with IBM Data Analytics Division (through 2015) and then later (2015+) as an external Consultant/Instructor teaching IBM courseware and other courses, often under direct engagement by IBM itself to run training courses.

Experience

1. Instructor with Ibm\'s Mea University in Big Data Technology

   IBM

   Jul 2015 — Present

   Occasionally teach a Big Data Technology workshop as part of IBM\'s Middle-East-Africa (MEA) University based out of Dubai, UAE and their new Skills Initiative. Currently these 5-day workshops are aimed exclusively at university professors and academic staff where the university has expressed an interest in teaching Big Data and related technologies to senior undergraduate and to graduate students as part of a Data Science curriculum.Locations where I most recently taught this 5-day Big Data Technology workshop: Riyadh, KSA (Mar 2017), Dubai, UAE (Jan 2017), and Johannesburg & Port Elizabeth, South Africa (May & Jul 2016). Generally I am only available to run these workshops during academic breaks and semester breaks in USA.

Education

• Walden University

  Doctor of Philosophy (Ph.D.), Education

  2004 — 2014

• University of Birmingham

  Master's Degree, Computer Science

  1971 — 1973

• Iona University

  Adjunct Professor, Computer Science

  2015

• Kapunda High School, Kapunda, South Australia

  High School

  1954 — 1957

• University of Adelaide

  BSc, Mathematics

  1958 — 1960

• Université Sorbonne Nouvelle

  Diplôme d’Université de Phonétique Appliquée à la Langue Française, Institut de Linguistique et Phonétique Générales et Appliquées (ILPGA), French Language Studies

  1968 — 1970

Skills

• Open Source
• Computer Systems Analysis
• Soa
• Web Services
• Saas
• Websphere
• Databases
• Data Warehousing
• Distributed Systems
• Performance Tuning
• Data Integration
• Sdlc
• Solution Architecture
• Java
• Information Management
• Software Development
• Shell Scripting
• Scrum
• Hadoop
• Agile Project Management
• Solaris
• Business Intelligence
• Agile Methodologies
• Oracle
• Requirements Analysis
• Cloud Computing
• Aix
• Windows
• Db2
• Eclipse
• Unix
• Data Modeling
• Sql
• Big Data
• Linux
• Integration
• Perl
• Web Applications
• Xml
• Database Design