Looking for a job

Tae Kim

@taekim1

BI Analyst at Google building automated pipelines for cross-platform YouTube campaign analytics.

At Google (via BayOne), I architect automated GoogleSQL (Plx) pipelines that bring YouTube, Sprinklr, and Bitly data into standardized datasets for analytics and modeling. I also added validation and anomaly detection checks to catch schema issues early.

I structured curated data tables for AI-assisted sentiment analysis and engineered reusable data layers from cross-platform campaign metrics. These support campaign insights and reduce ad-hoc reporting requests.

At CBS Interactive & 1WorldSync, I engineered Azure Data Lake, U-SQL, and Hadoop pipelines for daily event logs and designed dimensional models powering self-service dashboards. Earlier, at New York University, I analyzed MTA and GIS data and built interactive visualizations for transportation planning.

Experience

Work history, roles, and key accomplishments

Current

Senior Business Intelligence Analyst

Current

Google (via BayOne)

Jul 2022 - Present (4 years 3 months)

Architected automated ETL pipelines in GoogleSQL (Plx) integrating YouTube, Sprinklr, and Bitly data into standardized datasets. Implemented data validation and anomaly detection checks, and structured curated tables for AI-assisted sentiment analysis.

GoogleSQL PL X ETL Data Validation Anomaly Detection AI Assisted Sentiment Analysis Data Pipelines Data Warehouse

Senior Business Intelligence Analyst

CBS Interactive & 1WorldSync

Jun 2015 - May 2022 (6 years 11 months)

Engineered scalable data pipelines across Azure Data Lake, U-SQL, and Hadoop, processing 12M+ daily event logs for 1,200+ retail partners. Designed modular dimensional data models and optimized warehouse schemas, powering 20+ self-service dashboards.

Azure Data Lake U SQL Hadoop Dimensional Data Models Power BI Birst Query Optimization Data Warehouse

Specialist

US Army Reserve

Apr 2012 - Apr 2020 (8 years)

Developed and deployed a mobile fitness-tracking application to improve engagement and readiness tracking.

Mobile Application Developer Fitness Tracking

Graduate Research Assistant

New York University

Oct 2014 - May 2015 (7 months)

Analyzed 400M+ rows of MTA API and GIS data to identify trends in NYC traffic flow. Built interactive data visualization tools supporting transportation planning and policy recommendations.

Data Analysis GIS Data Visualization MTA API Python

Education

Degrees, certifications, and relevant coursework

New York University

Master of Science, Applied Urban Science and Informatics

Activities and societies: Notable coursework: Big Data, Data Mining for Business Analysis, Programming for Data Science, Applied Data Science, Real-Time and Big Data Analytics.

Master of Science in Applied Urban Science and Informatics from New York University, completed in July 2015.