Waurn Ponds, Victoria, Australia
I’ve spent just over 10 years at Mercer working across global HR and benefits technology. The work has covered a fair bit of ground over that time, from day-to-day platform support and incident management through to data migration and team mentoring. I tend to get handed the messier, less-defined problems, which is where I do my best work. For the past year I’ve been the main technical contact across Asia-Pacific and Australian hours, running incidents and stakeholder communications largely on my own. It stretched me, but I came out of it a lot more comfortable owning a problem end to end. Most of my focus lately has been a platform migration. I built a data extraction and classification approach in Python, pulling large benefit datasets out of MongoDB and reshaping them for migration, and it’s since become the basis for a broader migration programme. That mix of hands-on data work and building something repeatable is the part of the job I enjoy most. I work best where there’s real technical depth to get into, and where helping other people get their heads around something is part of the role.
Platform operations and technical escalation for a global HR and benefits platform supporting clients across 30+ countries. A few things I’ve worked on: • Built a data engineering approach for a complex platform migration — large-scale extraction from MongoDB, Python-based cleaning, and AI-assisted classification of benefit records across a broad client base. It started as a bit of an experiment and has since become the foundation for a wider migration programme. • Ran technical escalation and incident response across Asia-Pacific and Australian hours for an extended stretch, handling critical incidents and stakeholder communications end to end on my own. • Onboarded and mentored a new offshore team, getting them up to speed on a platform with a fairly steep learning curve. • Built automation scripts and folded AI tooling into investigation workflows to cut manual effort in routine diagnostics and reporting.
Technical support and data analysis for Darwin benefits platform, supporting clients globally across APAC, EMEA and the Americas. A few things I worked on: • Used SQL, Python and Excel to analyse platform and enrolment data, work out what was going wrong for clients, and help fix it. • Worked with engineering and product teams on defect resolution — providing data evidence and reproducible test cases rather than just flagging that something was broken. • Identified and helped resolve data mapping issues in client integrations, improving the reliability of end-to-end data transfers. • Wrote technical documentation and troubleshooting guides that became standard reference material across the regional support teams. • Acted as the connection point between business stakeholders and engineering during implementations, translating requirements in both directions.
Technical support for manufacturing systems across semiconductor fabrication plants in five countries, with a 24/7 on-call component. • Kept critical manufacturing systems available where downtime had a direct production impact. • Analysed cross-site performance data to find patterns behind recurring failures, and helped put fixes in place. • Contributed to technical documentation used by IT teams across all regional sites.
Process Engineering Intern | Semiconductor Industry Six-month data analysis project on manufacturing tool performance, using JMP statistical software to find patterns in process variability and improve tool efficiency. Presented findings to senior engineers and finished with a strong performance rating.