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Data Engineering Lead & Client Advisory
Leads data engineering projects for clients, designing scalable pipelines and mentoring teams while translating business needs into technical specs using tools like Airflow.
SENIOR DATA ENGINEER-GCP
Designs and builds scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable data-driven decisions.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines and governance for batch and streaming data across multi-cloud environments.
Senior Data Engineer: Cloud Data Platform & Spark
Design and build cloud data pipelines and platforms using Azure, Databricks, and Spark; optimize workflows with Airflow and manage structured/unstructured data.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Senior Data Engineer: Scalable Data Pipelines and Cloud
Designs and builds scalable data pipelines in AWS/Azure using Snowflake, Redshift, Spark, and Airflow to deliver analytics-ready data for enterprise clients.
Senior Data Engineer /
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for enterprises, using Python/Java/Scala, Spark, Airflow, and cloud platforms like AWS/Azure.
Senior AWS Data Engineer
Designs and maintains scalable AWS data pipelines using Glue, Redshift, and PySpark to ingest, transform, and serve data for analytics and ML.
Principal Data Engineer
Lead the architecture and delivery of Medibank’s next-gen cloud-native data platforms, Databricks lakehouse, and AI/ML enablement while mentoring engineering teams and setting enterprise standards.
Senior Data Engineer
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Senior Data Engineer
Senior AWS Data Engineer builds scalable data pipelines and analytics-ready datasets on AWS using Glue, Redshift, Athena, PySpark, and dbt.
Chief Data Engineer
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
Senior Data & AI Engineer
Senior AI & Data Engineer designs and deploys cloud-native data pipelines and ML models to turn complex data into commercial outcomes, collaborating with global stakeholders.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Data Engineer
Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Data Engineer
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Data Engineer, AI and Data, Technology Consulting
Design and build scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, and PySpark to enable AI, analytics, and reporting for EY’s clients.
Data Engineer
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Data Engineer
Build and maintain data pipelines and customer datasets for REA Group’s property platform, consolidating legacy systems into a unified customer profile to power AI-driven personalization.
Data Engineer
Design and maintain data pipelines and customer datasets to power AI-driven personalization at a leading Australian proptech company, using SQL, Airflow, BigQuery, and DBT.