Pang Yan Shen
Data and Cloud Professional
Professional Summary
Data and Cloud Professional with hands-on experience in data, AI, cloud engineering (AWS), Terraform, and Kubernetes, supported by a strong background in data science and business intelligence. I specialize in building reliable, scalable, and automated cloud environments by integrating multiple AWS services into cohesive workflows. I am committed to continuous learning, improving operational efficiency, and contributing meaningfully to automation, observability and data-driven decision-making in a collaborative, team-focused environment.
Work Experience
Junior Cloud Engineer, Management Trainee, IT Transformation Group
Nov 2024 - PresentAEON Credit Service (M) Berhad
- Managed AIOps initiatives by deploying GenAI and ML workloads on Amazon EKS using Kubernetes manifests and containerized workloads.
- Translated complex business requirements into scalable technical specifications, deploying end-to-end BI solutions and reporting tools.
- Extracted and processed structured and unstructured datasets to support analytics and business needs.
- Performed data cleaning, transformation and exploratory analysis using SQL and Python to support operational and analytical use cases.
- Designed and maintained interactive Power BI dashboards and reports that delivered actionable insights to management and business stakeholders.
- Built and managed scalable AWS environments using Terraform, automating provisioning across VPCs, EKS clusters, EC2, IAM, S3, and RDS.
- Developed reusable Terraform modules to standardize infrastructure configurations and environment setup across multiple projects.
- Integrated AWS services into automated, end-to-end cloud workflows that improved operational efficiency and reduced manual intervention.
- Maintained CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy to streamline application releases and infrastructure updates.
- Implemented observability and monitoring by integrating Dynatrace, CloudWatch, and SIEM tools into the cloud environment to enhance reliability and security posture.
- Developed event-driven architectures with Lambda and EventBridge to support real-time notifications, system automation and cross-service integrations.
- Collaborated with Data, DevOps and IT Security teams to troubleshoot cloud resources, refine IAM roles and policies, and align environments with AWS best practices.
Technical Skills
Cloud Engineering & Automation
Data Science, Analytics & BI
Certifications
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Snowflake SnowPro Associate: Platform Certification (SQL-C01)
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Projects
Great Malaysia AI Hackathon 2025 - Top 10 Finalist
APU, MDEC & AWS
Developed an AI-powered badminton coach that provides biomechanical feedback using RAG technique, vector database, Amazon Bedrock and SageMaker, making professional-level technique coaching instantly accessible.
Education
Master of Science in Data Science and Business Analytics
Asia Pacific University (APU), Malaysia
Specialization: Data Engineering | CGPA: 3.75
Capstone Project: Predicting Loan Default in Peer-to-Peer Lending: LightGBM with Boruta Feature Selection Approach
Bachelor of Science (Biotechnology)
Monash University
Major in Biotechnology, Minor in Chemistry | GPA: 3.5 / WAM: 79.237
Coursework: Genetics, Genomics and Bioinformatics, Organic/Inorganic Chemistry, Plant Biotechnology, Statistics and Scientific Research