Apache NiFi and Kylo Training - Data Flow and Lake Management

Eric Wong Mun Seng is an accomplished accredited trainer and digital transformation leader based in Kuala Lumpur, Malaysia, who brings a unique blend of technical expertise and human-centric learning approaches to his training programs. With a dynamic career evolution from IT support to digital transformation leadership, Eric has developed exceptional capabilities in bridging complex technical concepts with accessible, practical learning experiences that drive measurable organizational results. Eric's training philosophy centers on combining technical expertise with emotional intelligence, enabling participants to not just learn but truly internalize and apply new concepts in their professional environments. He specializes in innovation and future-readiness training, with a particular focus on building 'antifragile' capabilities within organizations. His approach creates safe spaces for experimentation and learning through effective conflict resolution, while adapting training methodologies to accommodate diverse learning styles and organizational needs. Throughout his career, Eric has achieved significant milestones that demonstrate his practical expertise. He successfully led the digital transformation of retail operations, transitioning from traditional counter service to mobile/iPad-based systems, resulting in improved customer satisfaction and reduced transaction times. His innovation capabilities are evidenced by multiple hackathon victories, and he has developed and delivered technical selling programs that consistently empower participants to achieve their targets. Eric has also facilitated design thinking workshops that have led to implementable solutions for real business challenges. As a recognized thought leader, Eric serves as an Advocate for Better Value Sooner Safer Happier (BVSSH) and has been a featured speaker at the People & Culture Conference 2024, Agile Day Malaysia 2023, and as a podcast guest on business agility topics. His comprehensive certification portfolio and ability to deliver training for both small groups and large audiences make him a versatile and effective trainer. Eric's key training programs span corporate innovation, Agile and Lean methodologies, career resilience, systems thinking, entrepreneurship, and video marketing. He enhances learning outcomes through pre and post MCQ assessments, visual aids, e-certificates, and limited-time online coaching support, ensuring participants receive comprehensive support throughout their learning journey.

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.