Dream job! I joined Data Science & Engineering in Consumer Insights at Netflix. I work in the Product domain supporting Growth & Member experience. I own data & analytics engineering work involving pricing, market competition, user retention, and growth.

I owned the Sales domain reporting environment in the Devices & Services Business Org. My involvement spanned from raw data ingestion all the way through to front-end reporting. I worked closely with executives to understand needs, then designed and built elegant and scalable solutions.

I worked as a Data Engineer on Facebook App. I served the Navigation team, which owned all data sets for the bottom bar of buttons in mobile (Watch, Marketplace, News, Notifications, etc.)While I absolutely loved this role and the work, my time on the team was short as I received an undeniably attractive offer from Google.

During my time in the Ads Technology org, I strengthened my analytical skills and business experience. I wrote advanced Dataswarm pipelines and managed other data engineering work. I mastered Python and automated complex team workflows. I learned PHP and Javascript, and built front-end tools to make everyday work easier for non-technical employees across multiple orgs. I used data science skills to understand technical issues, determine scope and severity of said issues, and contribute to product strategy and product improvement.[INTERNAL: Visit D15512016 to see how I used DE skills to automate 50% of the role for all analysts on my team]

I began an exciting career straight out of college as an on-site consultant at Facebook HQ. In this position, I developed strong SQL skills, learned to write data pipelines, and became an expert in Tableau reporting and creating aesthetic, functional, and informative Tableau dashboards.I learned Python and began to automate workflows for the team, increasing efficiency and reducing human error.