Summary
Senior data professional with 10+ years building automated ETL/ELT pipelines, dimensional data models, and cloud analytics platforms (GCP, Azure) — and turning them into executive dashboards, KPIs, and decisions. At Google, architected production-grade GoogleSQL (Plx) data layers integrating YouTube, Sprinklr, and Bitly data to power analytics and AI-assisted insights. Earlier, engineered pipelines processing 12M+ daily events for 1,200+ retail partners. Deep strength in data quality, anomaly detection, query optimization, and semantic/KPI modeling, turning raw data into metrics the business can trust and data layers that support BI and AI applications.
Experience
Senior Business Intelligence Analyst
Jul 2022 – Sep 2026
Google (via BayOne)
- Architected automated ETL pipelines in GoogleSQL (Plx) integrating YouTube, Sprinklr, and Bitly data into standardized, cross-platform datasets for analytics and modeling.
- Implemented automated data validation and anomaly detection checks that identified schema issues early, improving downstream reporting accuracy.
- Built curated data tables enabling AI-assisted sentiment analysis for content and campaign insights.
- Engineered scalable Plx data pipelines and workflows that converted raw cross-platform metrics into reusable data layers, reducing ad-hoc reporting requests.
- Analyzed high-volume campaign and content performance data, incorporating AI-assisted insights to inform optimization strategy and improve campaign outcomes.
- Supported executive quarterly and annual reviews through KPI analysis, dashboards, and insights.
Senior Business Intelligence Analyst
Jun 2015 – May 2022
CBS Interactive & 1WorldSync
- Engineered scalable data pipelines across Azure Data Lake, U-SQL, and Hadoop, processing 12M+ daily event logs for analytics across 1,200+ retail partners, including Target, Costco, and Walmart.
- Designed modular dimensional data models and optimized warehouse schemas supporting 20+ self-service Power BI and Birst dashboards.
- Tuned query performance and partitioned large-scale datasets to improve performance and reduce compute costs.
Graduate Research Assistant
Oct 2014 – May 2015
New York University
- Analyzed 400M+ rows of MTA API and GIS data to identify trends in NYC traffic flow.
- Built interactive data visualizations supporting transportation planning and policy analysis.
Specialist
Apr 2012 – Apr 2020
US Army Reserve — eight years of service
Skills
Data Engineering: ETL/ELT Pipeline Development, Dimensional Data Modeling (Star/Snowflake Schema), Data Quality & Anomaly Detection, Query & Performance Optimization, Data Warehousing
Analytics: Business Analysis, KPI & Metric Development, Performance & Trend Analysis, Data Validation, Anomaly Detection, Executive Reporting
Programming: SQL, GoogleSQL, Python, U-SQL
BI & Visualization: Looker, Google Data Studio, Power BI, Tableau, Birst, Dashboard Development
Cloud & Data: GCP, BigQuery, Plx, Azure Data Lake, AWS, Hadoop, ETL/ELT, Dimensional Data Modeling
Education
M.S., Applied Urban Science and Informatics — New York University (2015)
Coursework: Big Data, Data Mining for Business Analysis, Programming for Data Science, Real-Time and Big Data Analytics
Master of Liberal Arts, Information Technology — Harvard University (2010)
Concentration: Information Management Systems
B.A. — University of Pittsburgh (2005)
Related coursework: Computer Science
Honors
- Army Commendation Medal & National Defense Service Medal
- NYU Academic Fellowship — Merit Based