Available to hire
I am a results-driven Lead Data Engineer with 15+ years of experience architecting scalable data platforms and delivering resilient data solutions across financial services and retail. I specialize in cloud data engineering, end-to-end ETL/ELT pipelines, data lakes/lakehouses, and large-scale event-driven architectures, delivering reliable, high-performance analytics.
I mentor engineers, align initiatives with organizational KPIs, and collaborate with data scientists and business stakeholders to produce trusted datasets and actionable insights. I thrive on solving complex data challenges and enabling data-driven decision making.
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Language
English
Fluent
Work Experience
Lead Data Engineer at Future Fund
October 1, 2024 - November 5, 2025Designed and developed a Delta Lakehouse platform on Databricks, integrating real-time and batch data pipelines with Python, PySpark, DBT, Dagster, and AWS S3 to support enterprise analytics and ML workloads. Engineered data ingestion, replication, and distribution services with Dagster for orchestration, observability, and lineage tracking across batch and streaming workflows. Built out Databricks Lakehouse components and governed data with Unity Catalog; collaborated with data scientists to streamline ML model lifecycles using Airflow and SageMaker. Implemented robust data quality checks and governance policies; applied dimensional modeling (star/snowflake) to optimize BI/analytics experiences. Partnered with analysts and business stakeholders to deliver trusted datasets for investment decision-making and executive dashboards.
Lead Data Engineer at Vanguard Investments Australia
September 30, 2024 - September 30, 2024Led design and development of data lakes, data warehouses, replication and distribution services with real-time and batch ingestion using Python (Pandas, Polars, PySpark), AWS services, and DBT. Implemented scalable data ingestion pipelines and microservices, migrating legacy data products to a modern lakehouse architecture on AWS to improve performance and maintainability. Built MLOps workflows with Airflow and AWS SageMaker; established data governance, quality checks, and lineage tracing; collaborated with Power BI developers to design analytics-ready datasets and dashboards.
Senior Data Engineer at Latitude Financial Services
August 31, 2022 - August 31, 2022Led the Customer 360 Data Platform using Snowflake, Airflow, Glue Spark, and DBT; designed, built, and maintained data lakes and data warehouses with real-time and batch ingestion pipelines. Implemented dimensional modeling and governance to enable analytics and reporting for customer insights, while collaborating with data analysts and stakeholders to deliver reliable datasets and dashboards.
Senior Data Engineer at Webjet Ltd
October 31, 2019 - October 31, 2019Collaborated with globally distributed teams to design and develop data lake solutions; built data transformation jobs in Python to generate parquet files; contributed to code quality through reviews, unit tests, and collaboration with data analysts to support reporting and analytics.
Software Developer at Reece Pty Ltd
April 30, 2019 - April 30, 2019Developed efficient RESTful APIs using Python, Django, and Django REST Framework in a microservices architecture; built scalable back-end services, containerized with Docker, and deployed to Kubernetes; implemented logging and monitoring with Prometheus and Grafana; established CI/CD pipelines with GitHub and Bamboo.
Software Developer at Wipro Technologies Ltd
April 30, 2012 - April 30, 2012Software Developer for Reece Pty Ltd, Melbourne. Developed microservices in Python/Django and front-end in Angular; built API-driven services; implemented CI/CD with Bamboo; deployed to Kubernetes; built monitoring with ELK stack; participated in design discussions on microservices architecture and front-end integration.
Education
Qualifications
Bachelor of Engineering
January 11, 2030 - November 5, 2025Industry Experience
Financial Services, Retail, Software & Internet, Professional Services
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