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Lead a team building and scaling Azure Databricks-based data pipelines for AIA’s insurance analytics platform, mentoring engineers and shaping the architecture.
Lead a team to design and build scalable Azure Databricks data pipelines for AIA Australia’s tech transformation, migrating data and delivering business-aligned data products.
Lead data engineering projects for clients using Databricks and Snowflake, advising on cloud and data solutions while managing teams and client relationships.
Lead a team building scalable data pipelines on Azure Databricks using Python, SQL, and Azure services like ADF/ADLS/Azure SQL.
Lead a team to build and maintain scalable data pipelines and infrastructure for reporting, analytics, and AI initiatives in a fintech company.
Lead a team to design and build scalable, secure data pipelines using Databricks and GCP for a fintech company.
Lead a team to design and build scalable data pipelines on Azure Databricks for AIA’s insurance and financial services, focusing on ETL, data quality, and cloud best practices.
Lead a team to design Snowflake-based data pipelines and lakehouse architectures, enabling AI-driven analytics for clients while mentoring engineers and delivering scalable solutions.
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud data engineering.
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Lead Snowflake migrations and semantic modeling to build scalable analytics platforms, collaborating with global teams and integrating BI tools like Power BI.
Design and scale data pipelines and analytics on Azure Databricks, ADF, and ADLS for Tennis Australia’s data platform.
Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Lead a team to design and build scalable data pipelines on Azure Databricks, migrating legacy systems to modern cloud solutions while mentoring engineers and ensuring data quality and security.
Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Leads architecture and builds scalable, secure data pipelines on GCP/BigQuery for batch and streaming workloads while mentoring engineers.
Lead a team to design and deploy Snowflake-based data architectures, build ETL/ELT pipelines, and productionise AI models for clients using cloud-native tools and best practices.
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.
Lead Snowflake migrations and implementations, build semantic data models, and integrate BI tools like Power BI for enterprise reporting while applying modern DevOps practices.
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