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Data Engineer | 5+ years industry exp | Ex MSc Computer Science @ Imperial
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✅ Collaborated in cross-functional teams (analysts, product managers, data scientists) to deliver data products that influence critical business outcomes ✅ Led the design and implementation of data pipelines (CDC, ELT) using cloud-native tools (GCP/AWS); ensured pipeline success and scalability - ask me how! Personal projects: https://rouenlee29.github.io/.
Imperial College London
Master of Science - MS, Computer Science
October 1, 2021 – October 1, 2022
Coursera
Deep Learning Specialization
January 1, 2018 – Present
The University of Edinburgh
Bsc Mathematics and Physics, Science
January 1, 2013 – January 1, 2016
Taylor's College Subang Jaya
GCE A Levels, Mathematics, Chemistry, Physics, Further Mathematics,
January 1, 2012 – January 1, 2013
Viator
Data Engineer II (Data Platform)
November 1, 2024 – Present
Funding Circle UK
Engineer, Data
October 1, 2022 – November 1, 2024
Pulsifi
Senior Data Engineer
February 1, 2021 – September 1, 2021
Fusionex International
Data Scientist
January 1, 2019 – February 1, 2021
Kuala Lumpur, Malaysia
Nurture.ai
Artificial Intelligence Researcher | AI Saturdays Global Coordinator
January 1, 2018 – January 1, 2019
Kuala Lumpur, Malaysia
Experian
Junior Analyst
December 1, 2016 – January 1, 2018
Cyberjaya
QS Quacquarelli Symonds
Business Analyst Intern
June 1, 2015 – September 1, 2015
London
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Google Cloud Certified Professional Data Engineer
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse educational background in Mathematics, Physics, and Computer Science, coupled with certifications in Deep Learning and Google Cloud Professional Data Engineer. Their experience spans Data Engineering, Data Science, and AI Research, indicating adaptability and a broad interest in data-centric roles. The progression from Data Scientist to Senior Data Engineer and then Data Engineer II (Data Platform) shows a clear career path in data infrastructure, which could be a good fit for an ML Engineer role that often requires robust data pipelines. However, the most recent roles are heavily data engineering focused, and direct ML engineering experience is less prominent, which might require some bridging.
Soft Skills & Operational Fit
The candidate demonstrates leadership in migrating legacy systems and mentoring junior engineers. Collaboration across multiple teams for self-serve data platforms indicates strong teamwork and communication skills. The adoption of CI/CD and TDD suggests a focus on robust and maintainable solutions.