Juno Lee Email & Phone Number

New York, Ny, Us

San Francisco, Ca, Us

- Architected and led development of flagship data engineering courses for 7k+ enterprise customers, 1k+ partners, internal teams, and top training sessions at Data + AI Summit.- Partnered with product teams and specialists to create demos, reference solutions, and best practices, driving technical enablement for 6+ products.- Automated infrastructure deployment for scalable, fault tolerant streaming pipelines and ML workflows with Python, Databricks APIs, AWS/Azure, accelerating demo setup time by 4.5x.- Trained developers on infrastructure tools, established workflows for external contributors, and scaled efficient updates to 12+ courses.- Delivered workshops at Data + AI World Tour and taught 4-day advanced data engineering classes. Led an 8-week partner training program achieving an 83 NPS.- Developed technical content on LLMs for presentations at Data + AI Summit.Awarded the 2023 Execution Award for launching a modularized Data Engineering pathway, leading a cross-functional team of developers, trainers, product leads, and solution architects.Core modules for data engineers (Python/SQL variations): - Develop with Databricks Data Science and Engineering Workspace - Transform Data with Spark - Manage Data Storage with Delta Lake - Build Data Pipelines with Delta Live Tables - Deploy Workloads with Databricks Workflows - Manage Data Governance with Unity CatalogModules for advanced data engineers (Python): - Streaming Fundamentals with Spark Structured Streaming and Delta Lake - Streaming ETL Patterns with Delta Live Tables - Data Privacy and Governance - Software Engineering Practices with Delta Live Tables - Performance Optimization with Spark and Delta Lake - Automating Production Workflows

San Francisco, Ca, Us

- Developed technical curriculum for Spark Programming, Delta Lake, MLflow, Cloud Systems Architecture, including presentations, demos, labs, certifications, and videos.- Reduced courseware delivery time by 6x by parallelizing tests for Scala, Python, SQL variations across AWS, Azure, and GCP environments to accelerate updates.- Built Python/Scala libraries for data validation & feedback mechanisms for Spark coding labs, implemented for coding-based Apache Spark Developer certification exams.- Developed new branch of platform engineering courses for enterprise customers and partners, publishing 2x the average hours of content among 11 developers that quarter.

Mountain View, California, Us

- Curriculum Lead of the Data Engineering Nanodegree: Data Modeling, Cloud Data Warehouses, Spark & Data Lakes, Data Pipelines with Airflow.- Built portfolio projects for churn prediction on 12 GB of music streaming data with Spark & Amazon EMR, ETL pipeline with Python & Redshift, and data lake with S3 & Spark.- Designed course outlines with instructors, guided content creators through lesson development, and interviewed industry experts.

Mountain View, California, Us

- Lead instructor and creator in the Data Scientist Nanodegree (ML Pipelines & Software Engineering Practices), Python Programming for Data Science and AI, and Data Analysis.- Developed NLP and ML pipelines to train a disaster response prediction model on messages for 36 categories and built a web dashboard to visualize predictions on live messages.- Created lectures, demos, labs for ML, Experiments, NLP, and Statistics lessons. Built portfolio projects for Data Scientist Nanodegree, including rubrics and example solutions.- Trained content developers and SMEs on lab creation, lesson development, and project design. Presented in webinars & created content marketing material for the School of DS.

Denver, Colorado, Us

- Developed a U-Net-based CNN in TensorFlow to identify product masks for downstream feature detection. Applied clustering to extract colors, optimizing with silhouette analysis.- Applied LDA on product descriptions across user-curated collections, matching 22 latent themes with user interests, increasing content-based recommendation coverage 3x.- Deployed a recommender system using collaborative and content-based filtering, resulting in 21% increase in user session durations. Used RabbitMQ, MongoDB, and BigTable for scalable updates.- Built a Python analytics module for user engagement, product trends, and profitability reports. Integrated ETL and D3.js visualizations for actionable insights, driving product and influencer engagement strategies.

Led development and training for FIRST robotics competitions and video game design.

Computer Science

Data Science Fellow

Education record