Data Professional | Support Engineering • Data Science • ETL & Data Pipelines | Python, SQL, Cloud, ML | Driving Insights & System Reliability
I’m a technically skilled data professional with hands-on experience in support engineering, data science, and database analysis, driven by a passion for solving problems and creating systems that run smoothly at scale.
My career journey began in physics, where I developed the analytical mindset and precision that now guide my work in data. Since then, I’ve worked in both fast-paced client-facing environments and project-based data science roles, delivering measurable impact.
I thrive on cross-functional collaboration, having worked closely with product, engineering, and data teams using tools like Jira, Git, Docker, Airflow, and AWS. My approach combines technical depth in Python, SQL, data visualization, and cloud platforms with clear communication that bridges technical and business needs.
My motivation is simple: turning data into actionable insights and reliable systems that enable smarter decisions, whether that means debugging complex issues in production or architecting solutions for the next big project.
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