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Juno Lee Email & Phone Number

Data Engineering & AI Enablement Lead at Databricks
Location: New York, New York, United States 8 work roles 3 schools
2 work emails found @databricks.com 2 phones found area 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 2 phones

Work email j****@databricks.com
Direct phone (650) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Engineering & AI Enablement Lead
Location
New York, New York, United States
Company size

Who is Juno Lee? Overview

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Quick answer

Juno Lee is listed as Data Engineering & AI Enablement Lead at Databricks, a company with 12099 employees, based in New York, New York, United States. AeroLeads shows a work email signal at databricks.com, phone signal with area code 650, and a matched LinkedIn profile for Juno Lee.

Juno Lee previously worked as Personal goal pursuit at Career Break and Data Engineering Curriculum Lead at Databricks. Juno Lee holds Computer Science from University Of Michigan College Of Engineering.

Company email context

Email format at Databricks

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{first}.{last}@databricks.com
92% confidence

AeroLeads found 2 current-domain work email signals for Juno Lee. Compare company email patterns before reaching out.

Profile bio

About Juno Lee

Throughout my experiences leading projects at tech startups and content development teams, I discovered an intense drive for innovation and continuous growth. I value a great team and projects that are both challenging and meaningful.

Listed skills include Python, Machine Learning, Data Analysis, Natural Language Processing, and 26 others.

Current workplace

Juno Lee's current company

Company context helps verify the profile and gives searchers a useful next step.

Databricks
Databricks
Data Engineering & AI Enablement Lead
New York, NY, US
Website
Employees
12099
AeroLeads page
8 roles

Juno Lee work experience

A career timeline built from the work history available for this profile.

Personal Goal Pursuit

Current
Career Break
Sep 2023 - Present

Data Engineering Curriculum Lead

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.

Nov 2021 - Sep 2023

Senior Curriculum Engineer

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.

Apr 2019 - Nov 2021

Curriculum Lead, School Of Data Science

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.

Dec 2018 - Apr 2019

Instructor & Content Developer, School Of Data Science

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..

Jul 2017 - Dec 2018

Data Scientist

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.

Dec 2016 - Jul 2017

R&D Project Manager

Robomindtech

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

May 2014 - Jun 2016
Team & coworkers

Colleagues at Databricks

Other employees you can reach at databricks.com. View company contacts for 12099 employees →

3 education records

Juno Lee education

Computer Science

University Of Michigan College Of Engineering

Data Science Fellow

Galvanize Inc

Education record

Bronx High School Of Science
FAQ

Frequently asked questions about Juno Lee

Quick answers generated from the profile data available on this page.

What company does Juno Lee work for?

Juno Lee works for Databricks.

What is Juno Lee's role at Databricks?

Juno Lee is listed as Data Engineering & AI Enablement Lead at Databricks.

What is Juno Lee's email address?

AeroLeads has found 2 work email signals at @databricks.com for Juno Lee at Databricks.

What is Juno Lee's phone number?

AeroLeads has found 2 phone signal(s) with area code 650 for Juno Lee at Databricks.

Where is Juno Lee based?

Juno Lee is based in New York, New York, United States while working with Databricks.

What companies has Juno Lee worked for?

Juno Lee has worked for Databricks, Career Break, Udacity, Looplist, and Robomindtech.

Who are Juno Lee's colleagues at Databricks?

Juno Lee's colleagues at Databricks include Julien Kim, Tom Plewniak, Joe Spitalieri, Avesh Singh, and Alejandra Adrián.

How can I contact Juno Lee?

You can use AeroLeads to view verified contact signals for Juno Lee at Databricks, including work email, phone, and LinkedIn data when available.

What schools did Juno Lee attend?

Juno Lee holds Computer Science from University Of Michigan College Of Engineering.

What skills is Juno Lee known for?

Juno Lee is listed with skills including Python, Machine Learning, Data Analysis, Natural Language Processing, Public Speaking, Statistical Modeling, Sql, and Project Management.

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