How did you get started in data engineering?
I started as an ETL (Extract, Transform, Load) developer, where my job was to extract data from different sources, transform it into a structured and clean format and then load it into a system for analysis and reporting. Over time, I saw the potential of cloud technologies, which led me to transition into modern cloud-based data engineering. I have worked with multinational corporations like TCS and Accenture, consulting for clients such as General Electric and Legrand and leading major data engineering and migration projects. That’s where I really grew my skills in building scalable data systems and using platforms like Azure to optimise and streamline data processes.
What’s your main area of work now at your current role?
Currently, I’m focused on creating robust data systems to manage the flow of data, transforming it into an organised and reliable structure. My job is to ensure that raw data from multiple sources is cleaned and restructured in a way that makes it easy for data scientists to extract insights. I love the challenge of making data more accessible and useful for those who need it. This is particularly rewarding in Project Athena, where the data we work with plays a vital role in driving informed decisions.
Tell us about your career highlights so far
One of my standout projects was at Accenture, where I led the data migration for a French company specialising in electrical and digital building infrastructures. We migrated a large volume of scattered business data from systems like SAP and Salesforce, which manage finance, sales, and operations. This data was then consolidated into a single cloud-based storage system, making it easier to access and significantly reducing maintenance costs. Another key project involved moving over 500 sets of instructions (called "stored procedures") from an old database system to a newer, faster one. This transition significantly boosted system performance, cutting query processing times by 90%.
Why do you enjoy working on Project Athena?
Working on Project Athena is incredibly fulfilling because it allows me to contribute to something that truly impacts how data is managed and analysed. It’s exciting to be part of a project that focuses on solving complex challenges while ensuring that the data is clean, accessible and useful for data scientists and decision-makers to potentially identify patterns and detect fraud. The opportunity to work with innovative cloud technologies and collaborate with a talented team makes Project Athena a highly rewarding experience.