From global engineer to data leader in Australia’s tech
Moving countries mid-career became an opportunity for me to apply a decade of global engineering experience in a new context.
My journey started with enterprise software work in Argentina, before moving to data engineering roles in the United States, and then settling in Australia where I became a citizen in 2026.
Here, I help national organisations transform complex data into practical, scalable solutions.
A global career path that landed in Australia's technology sector
People say that my global career path is an interesting one.
When I first travelled to Australia in 2019, it was initially just to improve my English. After six months, I decided to stay. Australia is a great place to live - and now I feel that this is my home.
With more than a decade of experience across Argentina, United States and Australia, I've worked on industrial systems, real-time factory platforms, modular software architecture and data engineering projects spanning multiple industries and sectors.
Starting out in the oil and gas industry as a software engineer, I built transactional systems that processed real-time data to manage production environments. These were systems that factories relied on to operate. They needed to be precise and reliable, because they were directly connected to production.
My global experience also includes the creation of an interactive hologram system that won international recognition and led to travel to the United States, as well as contributing to an early detection system for cancerous cells - projects that reflect both technical precision and innovative thinking.
Moving to Australia and pursuing my passion as a data analyst
After relocating to Adelaide, I transitioned to data analytics, bringing my engineering discipline and business understanding into a new environment
Software engineering and data analytics are complementary. In both roles, you must deeply understand the requirements before building something useful.
While my earlier work centred on real-time transactional data, my current role at Australian data and digital transformation firm, Notitia, focuses mostly on historical datasets and forward-looking insights, helping organisations to interpret patterns and make informed strategic decisions.
Now I mostly work with data that helps clients make decisions for the future. We transform, model and visualise data so leaders can clearly understand what's happening in their organisation.
I love technology and the challenge of solving problems.
Creating something new from data, such as a dashboard, a report or a scalable application, genuinely helps someone to do their job better. And it's what motivates me.
Working as a data analyst: My approach to complex technical challenges
My approach to complex technical challenges has matured significantly over time.
Earlier in my career, I would focus very closely on solving the immediate technical problem. Now I step back and look at the full system.
Zooming out before diving in is critical.
For someone starting out in data or engineering, it's not always helpful to get obsessed with the smaller details.
Look at the bigger picture. Sometimes focusing on five per cent of the problem means you miss the other 95 per cent.
That systems-thinking mindset has become one of my strengths, particularly in optimisation projects where efficiency is paramount.
I'm challenged to find simple solutions to complex problems. Clients are often surprised when something that feels complicated can be addressed with a straightforward and scalable approach.
Why leadership stability and team cohesion is important
My ability to anticipate risks and identify constraints early has strengthened over time. With experience and the right support, you gain confidence in how to approach complex projects.
A workplace where technical professionals can focus on delivering high-quality work is critical to success. It has allowed me to become more confident in predicting timelines and navigating any ambiguity.
When you understand the tools and the data environment well, you can anticipate potential risks. That allows you to create workarounds early, or at least clearly communicate those risks at each stage of a project.
As a data analytics consultant, I work across multiple client projects simultaneously, building optimised data models, designing pipelines, creating dashboards and delivering reports that support executive and operational decision-making.
In data teams that often operate under tight timelines and shifting dependencies, proactive planning and collaboration make a critical difference. Sometimes delays happen for reasons outside our control, so the best way to manage them is to identify issues early, create a plan and keep clients informed.
At Notitia, a collaborative culture and strong project management framework has enabled me to manage multiple concurrent projects without unnecessary stress. The way we structure our time and manage deliverables ensures everything fits.
Looking forward as an Australian citizen working in tech
Now an Australian citizen, my global experience continues to inform my contribution to the local technology sector.
Working in different countries and industries you learn to understand new business models and development environments faster.
Ahead of International Women's Day, I would encourage emerging engineers and data professionals, particularly those navigating new countries or industries, to trust their transferable skills.
Zoom out, understand the system, and build something that truly solves the problem.