I like to think of my story as one where curiosity met cloud computing. I started my career diving deep into data, writing Python scripts, tuning SQL queries, and building AWS pipelines that turned raw information into real business impact. Over time, I evolved from wrangling data to leading data engineering projects at Capgemini, where I optimized ETL pipelines, automated workflows, and helped the team cut costs and boost reliability. What makes me unique is that I bridge both the analytical and creative worlds. I’m as comfortable designing a data architecture as I am collaborating across teams to translate complex problems into clear, actionable insights. Now, as I pursue my MBA, I’m driven to combine my technical foundation with strategic thinking to build products and systems that are not only efficient, but meaningful.
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