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Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Lead a team to build and maintain scalable ETL pipelines and cloud data platforms for government projects using AWS services like S3, Glue, and Redshift.
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Lead a cloud-based data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Build and optimize AWS-based data pipelines and Redshift warehouses for a government project, using Python, SQL, and DevOps practices to ensure secure, scalable data infrastructure.
Build and deploy backend services for AI-powered digital surgery applications using Python and AWS, integrating ML models across cloud and on-prem environments.
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 scalable data pipelines and ETL workflows on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
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 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 validate backend services for iGaming slot machines and casual games, ensuring provably-fair payouts, idempotency, and financial security using Kotlin and distributed systems.
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