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Azure Data Engineer for Analytics & AI Platform
Designs and maintains cloud-based ETL/ELT pipelines and data platforms to power analytics and AI initiatives for a major port operator.
Associate/AVP, Data Engineer, AI Alpha Group
Build and maintain scalable data pipelines and AI-ready datasets for an AI-powered investment team, using Python, SQL, and modern databases to support feature engineering and model workflows.
Data Engineer( Lead)
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Data Engineer (AWS)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
Data Engineer: Build Scalable AWS Pipelines
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.
M13 - Data Engineer
Build and maintain AWS-based data pipelines and Redshift warehouses, using Glue, Lambda, and CI/CD to ingest, transform, and optimize data for scalable analytics.
M22 - Data Engineer
Design and maintain scalable data pipelines, ETL processes, and data warehouses using Python, SQL, and cloud tools to support analytics and business intelligence for enterprise clients.
Assistant Manager, Data & AI (AI Engineer)
Build and deploy AI applications (e.g., conversational assistants, RAG systems) and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
AI Data Engineer Intern
Build and optimize cloud-native data pipelines that power AI/ML models and analytics for a global gaming company, using Python, SQL, AWS, and Airflow.
Data Engineer
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
Data Engineer (ML/AI) - Risk Data
Build and maintain ML infrastructure for credit-risk systems, deploying models, optimizing pipelines, and improving data quality and observability.
M19 - Data Engineer
Designs and maintains scalable ETL/ELT pipelines, cloud data platforms (AWS/Azure/GCP), and Databricks solutions to support enterprise analytics and reporting.
Senior Data Engineer (Public Sector)
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
LECTURER, DATA ENGINEERING - SCHOOL OF INFOCOMM TECHNOLOGY
Teach data engineering, cloud, and analytics modules at a polytechnic while designing curriculum and guiding student projects using Python, Spark, and cloud platforms.
Data Engineer
Designs and builds scalable AWS and Databricks data pipelines for public-sector and enterprise clients, using PySpark, SQL, and real-time tools like Kafka to power analytics and decision-making.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, using PySpark, Spark, Hadoop, or Flink to turn raw data into reliable analytics assets.
Assistant VP (Data Engineering) - OCBC
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, Iceberg, and streaming tools to modernize OCBC’s financial data infrastructure.
Data Engineer / Analytics Engineer (Intern)
Build and maintain ETL/ELT pipelines and data transformations to turn raw logs and usage data into reliable analytics for a speech-intelligence startup in Singapore.
Business Data Engineer (Contract)
Design and maintain data pipelines and integrations for a fast-growing beauty ecommerce portfolio, translating business needs into scalable data solutions to support decision-making.
Data Engineer (Hedge Fund HFT)
Build and maintain ETL pipelines and data warehouses for a high-frequency trading firm, integrating global equity datasets and ensuring data accuracy for trading and research.