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Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.
Lead a team to design and build scalable data pipelines on Azure Databricks, migrating legacy systems to modern cloud solutions while mentoring engineers and ensuring data quality and security.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Build and maintain financial data pipelines and reporting systems using PostgreSQL, Airflow, and ELT/ETL processes for a global trading platform.
Build and maintain secure, scalable ETL/ELT pipelines and cloud data infrastructure to integrate diverse sources and power analytics.
Build and maintain on-premise data pipelines and warehouses for a bank, using ETL tools, SQL, and Microsoft BI stack to deliver analytics-ready data.
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Designs and maintains scalable ETL pipelines and BI infrastructure to integrate Shopify, ERP, CRM, and logistics data for analytics and reporting.
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
Design and implement scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to build batch and streaming ETL/ELT solutions for real-time analytics in fintech.
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Build and maintain data pipelines, warehouses, and governance for a fintech platform using Python, Databricks/Snowflake, and cloud services.
Designs and builds scalable GCP data pipelines and platforms using BigQuery, Dataflow, and Python/Java/Scala to support AI and analytics workloads.
Design and build cloud-based big data pipelines and data warehouse integrations using AWS, Spark, Python, and SQL for enterprise clients.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric, mentor junior engineers, and deliver cloud-native analytics solutions for clients across finance, government, and other sectors.
Build and maintain data pipelines, migrate and integrate datasets, and enhance analytics capabilities using SQL, Python, and Azure tools for a federal government department.
Build and maintain scalable Azure-based data pipelines and lakehouses to feed analytics and BI for NSW government projects, using PySpark, Synapse, Fabric, and Power BI.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Design and build data pipelines and warehouses to support policy analytics for Building Commission NSW using Python/Java, SQL, and cloud/big-data tech.
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage to power Tennis Australia’s reporting and AI needs.
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