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Build and run AWS/Snowflake data pipelines for a global mobility operator, industrializing a new Data Lake and supporting analytics teams with curated datasets.
Build and maintain Spark pipelines and Kafka ingestion for large-scale government data lakes, ensuring data quality and real-time processing.
Build and maintain scalable data pipelines and cloud data platforms (Databricks, Snowflake, PySpark) to feed AI, analytics and reporting systems for enterprise clients.
Build and maintain Azure-based data pipelines for a large Australian insurer using Synapse, PySpark, Data Factory, and Data Lake Gen2.
Build and maintain scalable data pipelines on Azure and Databricks to integrate clinical, financial, and care systems for analytics and reporting in a large not-for-profit aged care provider.
Build and own end-to-end data products—ingesting, modeling, and transforming data in SQL/Python to power AI and analytics platforms for large enterprises.
Build and maintain data ingestion pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG and data virtualization layers.
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Build and maintain data platforms, pipelines, and ML infrastructure for an asset-management firm, using cloud tools like GCP/AWS and BI platforms such as Power BI or Tableau.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using SQL, Spark, and cloud tools to power business decisions and product improvements.
Build and maintain data warehouse and pipelines for a crypto exchange’s risk-control domain, enabling real-time metrics and reporting with big-data tools like Spark and Alibaba Cloud.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems in real time.
Build and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to deliver reliable, high-quality data solutions for analytics and reporting.
Build and maintain OKX’s risk-control data warehouse, design real-time/offline pipelines, and deliver metrics/indicators to support trading-platform risk decisions using cloud and big-data stacks.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and maintain scalable data pipelines, models, and frameworks to support Illumina’s genomics and healthcare analytics, using Python/Scala/Java and containerization tools.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring high-quality pipelines for traders and quant researchers.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
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