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Builds and maintains Snowflake-based data pipelines and models that feed analytics and AI features, ensuring reliable, high-quality data for the business.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Lead the Data Services, Products and AI Enablement domain at REA Group, shaping strategy and delivery of data and AI platforms to enhance customer experiences and business decisions.
Lead data engineering projects to build investment data & analytics platforms using Python, Spark, AWS, and modern DevOps tools, enabling data-driven decisions for a global sovereign wealth fund.
Lead data engineering and analytics initiatives for a leading Asian bank, building scalable ETL pipelines and delivering insights via Qlik Sense dashboards to drive business decisions.
Leads sales growth in SEA by selling analytics, data engineering, AI/ML, and cloud services to top accounts across industries like BFSI, retail, and tech.
Lead a team to build and maintain scalable data infrastructure and analytics platforms using Python, Spark, and AWS, enabling investment decisions at a global sovereign wealth fund.
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Design and maintain AI-ready data architectures, including vector and graph databases, to power retrieval-augmented generation systems and enterprise analytics for investment and market intelligence.
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, Iceberg, and streaming tools to modernize OCBC’s financial data infrastructure.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Leads a team to design and implement data pipelines and warehouses for a large bank, ensuring secure, high-quality data access for analytics and compliance.
Leads software engineering, data analytics, and enterprise architecture teams to build secure, scalable systems and AI-driven solutions for internal and client-facing operations.
Build and improve AI developer tools using Python, RAG, and LangChain to enhance engineering velocity and integrate AI workflows.
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Lead a team to design and maintain fraud-risk data platforms, build ML models for real-time detection, and ensure regulatory compliance while driving AI innovation in a banking context.
Lead engineering for data services and AI platforms at a fintech-focused property tech company, driving scalable infrastructure and high-integrity data governance.
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
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