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Build and maintain scalable observability infrastructure, including time-series databases and distributed tracing systems, to monitor TikTok's production services and ensure stability.
Build and maintain real-time and batch data pipelines for AI models in Singapore’s transport sector, ensuring high-quality, governed data for production use.
Design and build scalable data infrastructure for a media company, including data lakes, customer platforms, and AI-powered analytics to drive audience and business decisions.
Lead the design and delivery of scalable data pipelines and real-time analytics for a major bank, using Java, Python, SQL, Hadoop, Spark, Kafka, and containerized deployments.
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
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.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Builds scalable streaming and batch data pipelines for TikTok’s ad-data products, ensuring high-quality data for marketing analytics using tools like Spark, Kafka, and ClickHouse.
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.
Design and build scalable data infrastructure, pipelines, and AI-powered analytics for a media company, enabling data-driven decisions across subscriptions, advertising, and editorial.
Build backend systems that connect IoT field devices to digital platforms for a large-scale Smart City initiative, using industrial protocols and real-time data pipelines.
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 maintains KPIs, dashboards, and data pipelines for Asia’s fintech teams using Power BI/Tableau and ETL processes.
Build and deploy Python ETL pipelines, AI agent workflows, and cloud infrastructure to transform maritime data into actionable insights for the global shipping industry.
Build and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Assist in building and maintaining data pipelines and models for Singapore’s land authority, ensuring clean, reliable data for analytics and operations.
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 frameworks for AI/ML use cases using Java, Spring Boot, and cloud-native tools to support DBS Bank’s data-centric enterprise solutions.
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