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Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Build and maintain secure backend services in Node.js/TypeScript for cloud platforms, focusing on APIs, databases, workflows, and AWS deployments.
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 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 builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
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 in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Build and scale backend systems for a 3D virtual makerspace used by K–12 students, integrating LLMs to enhance learning and ensure real-time collaboration on low-end devices.
Build and maintain scalable data pipelines and AI/ML platforms using AWS, Snowflake, and Databricks to support analytics and model delivery.
Lead a data engineering team to maintain cloud data pipelines, warehouses, and lakes, migrating legacy systems to Snowflake and AWS while ensuring stability and performance.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Build and maintain cloud-native data pipelines and dimensional models on Snowflake and AWS, using SQL, Stored Procedures, and Snowpipe to ingest and transform enterprise data.
Build and maintain scalable data pipelines using PySpark, AWS Glue, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Build and own a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to power real-time fleet analytics and LLM-driven insights.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Design and maintain cloud backend APIs and infrastructure for a Bitcoin mining and AI cloud platform using Java, Go, Node.js, Python, and Kubernetes.
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