As a Senior Data Engineer at TrueML, I lead the design and implementation of scalable data platforms that empower analysts and decision-makers with trusted, high-quality data. I work primarily with AWS, dbt, Snowflake, Airflow, Python, and SQL. In previous roles, I’ve also worked closely with tools like Tableau, Power BI, Grafana, and ClickHouse. My background began in data analysis, which gave me a strong appreciation for the importance of clean, reliable data. That experience continues to influence how I approach engineering today. I care deeply about building data pipelines that are not only scalable, but also maintain high standards of quality and reliability. I believe that well-constructed data systems should be easy to trust, easy to use, and resilient over time. Over the years, I’ve grown into a technical leadership role with a strong independent contributor focus. I’m someone who can take on complex, open-ended problems with minimal oversight and deliver clear, effective solutions. Whether it’s designing architecture, refactoring pipelines, or enabling data consumers, I bring ownership, focus, and a drive to get things done right. I’ve led key projects across teams, helped establish data standards, and mentored other engineers to elevate overall data practices. I take pride in building systems that support the business with confidence and help analysts move faster with clean, well-modeled data. If you're building something interesting in the data space or just want to connect, don’t hesitate to reach out.