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Lead a team to build and maintain cloud data platforms (AWS data lake, Snowflake warehouse) that power reporting and analytics for a large university.
Lead a team to design and build scalable, secure data pipelines using Databricks and GCP for a fintech company.
Lead a team of data engineers building and scaling Atlassian’s analytical data platforms that process billions of events monthly to power company-wide decision-making.
Lead a team of 10–15 engineers to design and scale cloud-native data platforms using Databricks, GCP, and PySpark, while setting engineering standards and security guardrails for enterprise-wide data transformation.
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.
Design and build enterprise data models on Google Cloud’s BigQuery to power analytics and reporting for a large financial services firm.
Build and maintain scalable data pipelines on Google Cloud Platform using Java or Python, focusing on batch and real-time data processing with DevOps practices.
Build production software for autonomous robotic medical imaging systems, integrating robotics, ultrasound, AI, and clinical workflows to deliver reliable, real-world healthcare solutions.
Senior Data Engineer builds and maintains Databricks-based data models and pipelines for NSW’s building regulator, turning regulatory data into trusted analytics to support compliance and policy decisions.
Build production software for robotic medical imaging systems, integrating robotics, ultrasound, ML, and clinical workflows to create reliable, real-world autonomous devices.
Designs and builds scalable real-time data pipelines using GCP tools like BigQuery, Dataflow, and Pub/Sub to power analytics and decision-making.
Lead AI and LLM projects for a government transformation program, designing ML models, deploying solutions, and ensuring ethical compliance.
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Architects a business-first AI strategy by translating technical data into clear narratives for executives, aligning initiatives with corporate goals and AWS infrastructure.
Own end-to-end AI-driven payroll analytics projects, building models to automate and improve payroll outcomes while collaborating with product and engineering teams.
Principal Data Engineer leads data architecture and team mentorship for REA Group’s Listings and Enrichment platform, driving scalable ETL/ELT, modeling, and governance while collaborating with data scientists and engineers.
Designs and builds Spark/PySpark pipelines on Azure Lakehouses to ingest, transform, and store investment data for analytics and downstream systems.
Own the event data lifecycle, automate pipelines with scripts and AI tools, and build dashboards to drive data-driven decisions for an AI-first event platform.
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