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Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
Build and maintain scalable data pipelines and models to power analytics and insights for TikTok’s Video-on-Demand services using Spark, Flink, and distributed OLAP stores.
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.
Build and maintain scalable data pipelines and ETL processes for TikTok’s ad data systems, ensuring high-quality data for advertisers and supporting real-time analytics.
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
Build and maintain data-driven risk platforms using big data tools like Hadoop, Flink, and Spark to support real-time security decisions in a fast-paced ecommerce environment.
Build and optimize big-data pipelines and analytics using Hadoop, PySpark, Scala, and Python to process large-scale datasets and integrate data from multiple sources.
Build and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad platform, using Spark, Hive, and Python.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Builds SQL-based ETL pipelines to migrate and validate banking data, using Hive and Impala for large-scale processing in Singapore.
Design and maintain scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Design and deploy containerized data pipelines on OpenShift for banking analytics, using Spark, Hadoop, and Python to transform and enrich financial data for ML and reporting.
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Build and optimize Java Spring Boot microservices for data processing using Flink and Spark to power trading insights at a leading crypto exchange.
Design and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad-data systems, using Spark, Hive, and dimensional modeling.
Build and maintain scalable data pipelines using Spark, Scala, and Elasticsearch to power AML and financial crime compliance solutions on Quantexa.
Principal Software Engineer at Cloudera leading the design of large-scale distributed systems using Java, Spark, Kafka, and Iceberg, while mentoring teams and solving complex data-platform challenges.
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