Senior Analytics Engineer with 10+ years of experience building scalable dbt/Snowflake ELT pipelines, dimensional models, and governed semantic layers. Expert in SQL, Python, LookML, and data quality automation. Also experienced in leveraging data analytics and visualization to help customers derive meaningful, actionable value from their data.
Building reliable data foundations
Designing scalable analytical platforms
Structuring data for trusted decision-making
Preparing data for advanced modeling and forecasting
Translating data into strategic action
Ensuring data is accurate, secure, and dependable
June 2021 – January 2026
Originally hired as part of the founding team at eqtble, which was acquired by Paradox in 2024
and later acquired by Workday in 2025.
At eqtble, I was responsible for building a new SaaS people analytics platform from the ground up.
My work focused on shaping the data architecture behind the product — designing how HR, recruiting,
performance, and engagement data would flow into the system, how it needed to be modeled, and how
it would ultimately be visualized in dashboards customers rely on.
I owned much of the early data stack: creating the dbt project, developing our Snowflake pipelines,
and building the foundations of the semantic layer that powered the product's insights. Because we
were an early-stage team, I worked closely with engineering, product, and customer success not only
to define what data needed to look like, but also to ensure we delivered an experience that was
intuitive and genuinely valuable for our customers.
June 2018 - Present
At WeWork, I focused on designing and building Tableau dashboards that helped teams across the
organization understand performance, hiring trends, and workforce health. I worked closely with HR,
recruiting, and leadership teams to make sure the dashboards reflected the metrics they cared about
and were easy to use in their day-to-day decision-making.
A large part of my role involved training internal teams on how to navigate dashboards, explore the
data, and get meaningful insights without needing technical support. This meant partnering with
stakeholders, answering questions, running walkthroughs, and helping people feel confident using
data as part of their workflow.
June 2016 - June 2018
At DoubleVerify, I worked on the data visualization team supporting analytics for major digital
media platforms. My role centered around designing dashboards and reporting experiences that made
complex advertising and media-quality data easier to understand.
I collaborated closely with analysts, product managers, and engineers to shape how performance metrics
were presented to clients, ensuring that the insights we delivered were both accurate and accessible.
October 2014 - June 2016
At MQR, I worked as a data analyst supporting political polling and election research. I used Tableau
to build dashboards that summarized polling trends, voter turnout patterns, and voter-likelihood
model outputs in a way that researchers and strategists could quickly interpret.
My role involved turning large volumes of survey data into clear visual stories, helping the team
understand how opinions were shifting and where different segments of the electorate were likely to
engage. It was my first experience translating complex statistical information into visual insights
that people could use to make decisions.
August 2013 - June 2014
GPA: 3.8
August 2009 - June 2013
GPA: 3.9
Click on a dashboard to open it in Tableau Public.
