I am an experienced professional with a demonstrated track record of driving business impact through the use of data. During my career, I have held a number of technical and customer-facing roles such as developer relations, data analyst, and data engineer. That experience has given me a holistic understanding of the data lifecycle, and a unique ability to collaborate effectively across data and executive teams.

In my current role as a Data Solutions Architect, I work with technical, business, and executive stakeholders to design and implement data solutions according to their needs. My work requires technical know-how, an ability to communicate effectively across organizational units, and a commitment to delivering working solutions in a timely manner.

I specialize in building data pipelines and warehousing solutions with Python/SQL, and deploying them on Google Cloud Platform and Amazon Web Services. I'm comfortable working with a wide range of tools and technologies, including Apache Airflow, Docker, Terraform, Snowflake, and Tableau. I pride myself on producing organized, optimized, and well-documented code that is easy to maintain and extend, and I am always looking for ways to improve my skills.