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Build and own data pipelines for an AI-powered compliance platform, ensuring data quality and enabling financial crime detection in a fintech exchange.
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Build and maintain regional data pipelines and dashboards for a fintech company, ensuring accurate KPIs and reports across Asia using SQL, Python, Power BI/Tableau, and cloud platforms like Snowflake.
Builds and optimizes data pipelines in Snowflake and Azure Data Factory, designs data models, and translates business needs into technical solutions for analytics and reporting.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Build and maintain cloud-native data pipelines and dimensional models in Snowflake for a modernized enterprise data warehouse on AWS, focusing on ingestion, ELT, and production-ready analytics.
Build and maintain scalable data pipelines and ETL workflows on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Designs and maintains scalable real-time data pipelines on Azure and Databricks, integrating sources and enabling analytics and ML workloads.
Designs and maintains cloud-based ETL/ELT pipelines and data platforms to power analytics and AI initiatives for a major port operator.
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.
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines and AI/ML platforms using AWS, Snowflake, and Databricks to support analytics and model delivery.
Design and build data pipelines, warehouses, and lakes for enterprise clients, using SQL, Python, and cloud platforms like Snowflake.
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