Tinuiti is the largest independent performance marketing agency across the Triopoly of Google, Facebook, Amazon and beyond.I lead the Data Engineering, Business Intelligence, DevOps, Solutions Architecture, and Quality teams for mobiusOS, a data platform that empowers modeling, visualization, and advanced analytics.In other words, we build stuff that will get data from anywhere, at scale, and make it reliable and accessible for our analysts and data scientists to turn it into actionable intelligence.

Tinuiti is the largest independent performance marketing agency across the Triopoly of Google, Facebook, Amazon and beyond.The Data Services team that I lead is responsible for developing mobiusOS, a data stack that empowers modeling, visualization, and advanced analytics.In other words, we build stuff that will get data from anywhere, at scale, and make it reliable and accessible for our analysts and data scientists to turn it into actionable intelligence.

- Led a team of 5 BI Engineers responsible for RealSelf's data warehouse and BI tooling.- Personally built a new data workflow orchestration system, moving away from a complex system that routinely failed or was cost-inefficient, to a much more resilient architecture based on AWS CloudWatch, Lambda, SQS, and ECR.- Developed and maintained extract & load scripts in Python for anything we couldn't use off-the-shelf ETL products for. - Spearheaded complete overhaul of data warehouse modeling to move away from single-threaded Python scripts to all-SQL in-database transformations. The key benefit is that data modeling went from requiring a less common skill-set among analysts (Python) to a commodity skill-set (SQL), broadening the body of people able to model data.- Established and drove adoption of SQL coding best practices to improve readability and maintainability of data model logic.- Observing the need to improve the "durability" of insight generated by the Analytics team, deployed an open source app to allow anyone at the company to read and write internal whitepapers to disseminate learnings.- Oversaw development of the reporting platform (in Looker) and reviewed all new key data universes (Looker calls these "Explores") to ensure a good experience is maintained for users of the platform.- Drove development of microservices to get data out of the Analytics ecosystem into production systems where the customer-facing product can use it.

TRMS is the heart of customer trust at Amazon. We assess the fraud risk of every transaction that passes through Amazon systems to ensure that our customers and our sellers are protected against fraudulent activity. We also monitor for abuse of Amazon's policies to help us keep prices low for our customers. The Site Analytics Team is comprised of analysts located in multiple countries and our purpose is to support TRMS' senior leadership team by providing helpful tools and insightful analysis they use to drive the business forward.Examples of projects we work on:-Detection of anomalous metrics with programmatic root cause suggestion-Mechanized downstream impact analysis-Workforce schedule optimization-Queue routing optimization, including prediction of whether work sourced by a foreign country necessarily needs to be completed by staff who can read the language, or whether the work can be completed by less specialized staff.-Individual performance analysis

AmazonLocal is the local products and services division of Amazon.com.I lead the BI team for Amazon Local, and my team supports the product side of the business. Metrics and analysis regarding marketing, website features, overall revenue, and subscriber retention all fall under my team's umbrella, as well as training our stakeholders about the data our business generates, and how they can leverage it.I work with key business stakeholders to understand the direction the business is moving in, and adjust my team's focus to empower that vision. At the same time, my team and I are constantly evaluating business data to surface important, actionable findings to help the business deftly navigate our industry.

AmazonLocal is the local products and services division of Amazon.com.As a Business Intelligence Engineer II, I develop and maintain tools and data structures for use in the company's analytics. I then use those tools and structures to analyze consumer behavior with the goal of understanding what motivates people to act in particular ways. Once an interesting behavior is observed, I then develop strategies to modify that behavior, with the goal of optimizing the customer experience, thereby maximizing customer retention and engagement, and the resulting long term net revenue.

Masterworks is a marketing and branding agency that serves non-profit organizations of varying size.As a Marketing Intelligence Analyst 3, I analyzed the response to marketing efforts to support the strategic decision-making of the account services team. I also consulted with the account services team regarding test design, implementation and analysis. In general, my job was to make raw data meaningful, to support the strategic needs of the company's clients.As a Marketing Intelligence DBA, I was responsible for importation and integration of new clients' data into the company's data warehouse. I also developed new reports, and improved existing ones to provide strategic insight to decision makers for each client.Key accomplishments include creating of a forecasting tool the company's clients used to project the composition of their constituent base over 5 years, complete redesign of key indicators reporting, and full redesign of constituent sampling mechanism.

Masterworks is a marketing and branding agency that serves non-profit organizations of varying size.As a Marketing Intelligence Analyst I, I prepared data to be sent to print vendors for their use in producing marketing materials, analyzed response of marketing efforts, and provided ad-hoc information support to the account services team.

Masterworks is a marketing and branding agency that serves non-profit organizations of varying size.As the Help Desk Technician, I made sure that the company's technology was working properly, so that team members were able to work with optimal efficiency.