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Senior Data Engineer at Coda Payments
• Experience in several fields of IT businesses such as Data Engineering, Machine Learning, Algorithm/Logic calculation, Finance, Consulting with strong analytical skill and technical skill • Experience in improving IT workflow, business software development process, business workflow design, analytical product development and decision making process • Strong analytic skill and logical thinking in complexity workflow and user experience consultancy • Financial Product and Realtime application development • Technical Expertise in Scala, Python, Spark, Hadoop, Node.js, JavaScript, Matlab • Agile Evangelist Specialties: Scala, Python, Node.js, JavaScript, PySpark, Spark, Hadoop
Florida Institute of Technology
Master, MIS
N/A – Present
King Mongkut's Institute of Technology Ladkrabang
Bachelor, Information Engineering
N/A – Present
Coda Payments
Senior Data Engineer
August 1, 2023 – Present
Singapore
THAIVIVAT INSURANCE PCL.
Principal Specialist - Digital Marketing and Data Engineering
December 1, 2018 – May 1, 2023
Agoda
Senior Software Engineer in Machine Learning
January 1, 2015 – December 1, 2018
Taskworld
Interim Quality Assurance Manager
September 1, 2014 – December 1, 2014
Taskworld
Development Team Leader
August 1, 2014 – December 1, 2014
Thomson Reuters
Financial Software Engineer
October 1, 2010 – July 1, 2014
Siemens IT Solutions and Services
Consultant
April 1, 2009 – September 1, 2010
Cultural Fit Analysis
The candidate has a diverse background spanning data engineering, machine learning, and full-stack development across various companies (Coda Payments, THAIVIVAT, Agoda, Taskworld, Thomson Reuters, Siemens). This breadth of experience suggests adaptability and a willingness to tackle different technical challenges. The transition from QA/Development Team Lead to Senior Data/ML Engineer roles indicates a strong drive for technical growth and specialization. The target role of 'Backend Engineer' aligns well with their experience in API development, data processing, and system architecture, although the most recent roles lean heavily into data engineering rather than general backend services.
Soft Skills & Operational Fit
The candidate demonstrates leadership, team coaching, and cross-functional collaboration skills through roles like 'Principal Specialist' and 'Development Team Leader'. Experience in driving automation and agile methodologies suggests a proactive and process-oriented approach. The ability to assist engineering teams on urgent projects (Node.js API, AWS architecture) indicates adaptability and problem-solving capabilities.