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Build and maintain scalable data pipelines and lakehouse infrastructure for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS.
Lead Apache Kafka upstream development as a committer, shaping KIPs, reviews, and releases while driving enterprise-scale reliability and performance for managed Kafka services.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
Designs and leads enterprise-scale data platforms on Google Cloud Platform, defining standards for data warehouses, lakes, and governance while enabling analytics and compliance.
Designs and governs enterprise data architecture, cloud platforms (AWS/Databricks), and AI models to modernize systems, ensure compliance, and optimize costs for a fintech-focused organization.
Lead Data Engineer builds and optimizes scalable ETL pipelines and Teradata data models for a large Australian government agency’s cloud data platform.
Lead the design and modernization of a cloud-native data platform for Product Control, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while driving automation and AI-enabled engineering practices.
Builds and maintains Liberty’s AI-first data platform using Python, Azure, Terraform, and Microsoft Fabric to power BI dashboards and intelligent services.
Lead the design and maintenance of a data lake and warehouse, ingesting structured/unstructured data, and mentoring a team of data engineers using Azure Data Factory, Databricks, and Python.
Design and build scalable data pipelines on Databricks and Azure Fabric, implementing governance, IaC, and CI/CD for secure, high-quality data solutions.
Build and maintain a large-scale enterprise data platform on GCP using BigQuery, Python, and dbt to power analytics and future AI initiatives.
Build and maintain scalable data pipelines on Azure and Databricks to integrate clinical, financial, and care systems for analytics and reporting in a large not-for-profit aged care provider.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, using Python, SQL, Spark, Kafka, and cloud platforms.
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Build and maintain data pipelines and infrastructure for AI models that optimize Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems is reliably ingested and governed.
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Azure DevOps to ingest, transform, and orchestrate data for analytics and reporting.
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Design and build scalable on-premise data pipelines and lakehouse solutions using Python, PySpark, and SQL Server to power data-driven decisions across a global banking group.
Senior Data Engineer builds and maintains on-premise data pipelines and lakehouse solutions using Python, PySpark, SQL Server, and Kubernetes to enable data-driven decisions across a global banking group.
Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
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