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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.
Leads a team to design and implement data pipelines and warehouses for a large bank, ensuring secure, high-quality data access for analytics and compliance.
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.
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 Azure-based data pipelines using PySpark, Synapse, and Power BI, focusing on ingestion, transformation, and visualization with row-level security.
Build and maintain data pipelines and reporting systems for Tencent’s overseas advertising platform using big data tools like Spark and ClickHouse.
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and data-quality controls to power analytics and AI use cases in a fast-paced finance environment.
Build and maintain data pipelines and ETL processes for a large bank, using Python, SQL, Hadoop, and DBT to enable analytics and reporting across Asia.
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 maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Design and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad-data systems, using Spark, Hive, and dimensional modeling.
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to enable analytics and business intelligence for enterprise clients.
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.
Build and maintain Java-based banking applications using Spring Boot, AWS, and SQL databases like DB2/Sybase, following Agile practices.
Build and optimize a real-time risk-control engine for a fintech company, writing Go/Python services that ingest, clean, and score transactions while detecting fraud.
Build and modernize Java-based cloud-native applications for a global financial institution’s AWS migration, using Spring Boot and RESTful services.
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