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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.
Build and scale TikTok’s ad data platform, designing streaming/batch pipelines and OLAP systems to process petabyte-scale datasets that power advertiser decisions.
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa software on OpenShift, integrating data for compliance/AML analytics.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Design and maintain data pipelines and warehouses to power analytics and AI for Singapore’s public sector, using cloud platforms and distributed systems.
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 ETL pipelines, data warehouses, and analytics for mobile/IoT/app data using Python, SQL, and big-data tools to deliver insights for overseas operations.
Designs offline data architectures for TikTok’s live recommendation systems, builds scalable storage/compute, and troubleshoots production pipelines with ML teams.
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.
Designs and builds secure, scalable data pipelines and cloud infrastructure for a public-sector agency using Python, SQL, and modern DevOps tools.
Build and optimize Shopee’s e-commerce data warehouse and real-time pipelines using Spark, Flink, Kafka, and SQL to power BI, data products, and ML algorithms.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Design and build enterprise data architecture, pipelines, and governance for public-sector clients using SQL, ETL tools, and cloud platforms like AWS/Azure.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Job Description: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights that help the organization…
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 optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Build and optimize data pipelines and streaming applications using Hadoop and Python for Singtel’s data infrastructure.
Build and maintain ByteDance’s ML platform, handling data processing, model training, and deployment for large-scale deep learning systems powering ads and search.
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