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Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Build and maintain scalable data pipelines on GCP and Snowflake to feed marketing analytics and AI-driven personalization for global brands, using Matillion, Rudderstack, and Amplitude.
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Design and build scalable data pipelines and architecture using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights for a fintech company.
Build a Snowflake Native App that embeds Neo4j graph analytics into customers' warehouses, shipping Java/Python runtimes, SQL-first APIs, and secure DevOps pipelines for enterprise data teams.
Build and maintain the core infrastructure and developer platform that powers an AI product, including Kubernetes-based runtimes and observability stacks, to keep engineering teams highly productive.
Build and maintain data infrastructure (pipelines, warehouses) in Python and cloud platforms (BigQuery/Redshift, AWS) to power apps, devices, and sales with reliability and cost efficiency.
Build and maintain the data infrastructure that powers connected-watch platforms for brands like Jaguar and Lotus, focusing on pipelines, warehousing, and cost-efficient cloud systems.
Designs and models scalable BigQuery data structures on GCP to power analytics and reporting for a financial services company.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Designs and optimizes scalable data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Cloud Composer to deliver organizational insights.
Designs and builds scalable data models and pipelines on Google Cloud Platform using BigQuery to power analytics and reporting for a financial services company.
Designs and optimizes Google Cloud data pipelines and models in BigQuery to support analytics and reporting for a financial services company.
Builds and optimizes Google Cloud data pipelines and BigQuery models to power analytics and ML-driven decisions for a financial services company.
Design and build Google BigQuery-based data models and pipelines for enterprise analytics, transforming complex source systems into scalable, high-quality data assets.
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
Designs and builds scalable real-time data pipelines using GCP tools like BigQuery, Dataflow, and Pub/Sub to power analytics and decision-making.
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, and Terraform to power analytics and digital experiences.
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