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Lead data engineering initiatives for Veolia ANZ, designing cloud-based ETL pipelines and advancing data strategy in Sydney.
Build and secure embedded Linux Edge AI sensor platforms, integrating hardware, firmware, and cloud services to deploy reliable IoT devices with machine-learning inference.
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.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
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.
Builds enterprise knowledge graphs and AI solutions using Neo4j or Amazon Neptune to model complex data relationships, metadata, and lineage for analytics and generative AI.
Build and deliver practical AI agents and workflows for enterprise clients, turning business problems into measurable solutions using platforms like Foundry and Bedrock.
Protects systems and data by monitoring risks, investigating incidents, and improving security operations using AI tools like Microsoft Purview and Defender XDR.
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.
Design and implement scalable data engineering and warehousing solutions on Databricks, guiding customers through cloud transformations and enabling BI workloads.
Design and optimize scalable data pipelines using Python (PySpark), SQL, and Azure Databricks to enable AI-driven insights for the Transport Accident Commission.
Build and maintain scalable data pipelines for a climate-tech company, ensuring reliable ingestion from lab instruments and production systems into a cloud-based data lake.
Build and maintain scalable data platforms and AI pipelines using Databricks, Delta Lake, and PySpark on cloud platforms like Azure, AWS, or GCP.
Senior Data Engineer builds and maintains cloud data pipelines on Databricks/AWS, enabling analytics and ML use cases while collaborating with data scientists and BI teams.
Build and maintain Jetstar’s Snowflake-centric cloud data platform, designing scalable pipelines and ensuring data quality and governance.
Build and integrate computer-vision models to track construction progress and support ML lifecycle tooling alongside an AI/ML team.
Senior Data Engineer builds and optimizes Azure-based data pipelines for a NSW government department, reverse-engineering legacy systems and cleaning messy data using Medallion Architecture and Power BI.
Designs and builds Azure Fabric data pipelines for healthcare analytics using medallion architecture (Bronze/Silver/Gold layers).
Design and build scalable data pipelines using Python, Spark, and AWS for ASX’s next-gen data platform, focusing on automation, testing, and observability.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
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