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Build and maintain ETL/ELT pipelines, optimize SQL queries, and ensure data reliability in cloud environments for a data-driven organization.
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 scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Design and maintain Azure DevOps pipelines and cloud infrastructure, automating CI/CD and data workflows for enterprise clients.
Design and optimize Databricks-based ETL/ELT pipelines and streaming systems using PySpark, Delta Lake, and cloud stacks to deliver scalable, secure data solutions for enterprise clients.
Designs and maintains AWS-based data pipelines, builds scalable ETL/ELT processes, and ensures reliable data delivery for analytics and reporting in a hybrid work setup.
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 maintains scalable data pipelines and ETL/ELT processes on Azure, ensuring data quality and performance for analytics and automation.
Lead the design and delivery of Azure and Microsoft Fabric-based data platforms, building scalable pipelines and models to power analytics and reporting for a financial-services organization.
Build and maintain Salesforce Data Cloud and Databricks data pipelines, integrations, and customer data platforms to enable analytics, personalization, and real-time decisioning.
Designs and maintains scalable ELT/ETL pipelines, models data, and supports AI/ML initiatives for RACV’s enterprise data platform in Melbourne.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
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 maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and maintain enterprise-scale data warehouses, data lakes, and analytics platforms, designing ETL/ELT pipelines and integrating data across on-prem and cloud environments.
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