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Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
Build and maintain resilient, high-throughput backend services in Java for Cloudera’s data platform, ensuring stability under massive production loads and bridging legacy Big Data with cloud-native reliability.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
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.
Teach data engineering, cloud, and analytics modules at a polytechnic while designing curriculum and guiding student projects using Python, Spark, and cloud platforms.
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.
Build and maintain data pipelines and BI tools for TikTok’s ad-tech stack, using SQL and Hadoop to support analytics and reporting.
Lead a team to build real-time data pipelines and AI/ML systems for banking, using Java, Spark, Python, and Hadoop to process multi-modal data and operationalize models.
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 for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
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.
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