AeroLeads people directory · profile

Angela Chu Email & Phone Number

Helping companies solve the world’s toughest problems with Databricks. We are hiring for all positions - reach out to me! at Databricks
Location: San Diego, California, United States 8 work roles 2 schools
1 work email found @databricks.com 4 phones found area 858 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email a****@databricks.com
Direct phone (858) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Helping companies solve the world’s toughest problems with Databricks. We are hiring for all positions - reach out to me!
Location
San Diego, California, United States
Company size

Who is Angela Chu? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Angela Chu is listed as Helping companies solve the world’s toughest problems with Databricks. We are hiring for all positions - reach out to me! at Databricks, a with 51 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at databricks.com, phone signal with area code 858, and a matched LinkedIn profile for Angela Chu.

Angela Chu previously worked as Lead Solutions Architect at Databricks and Senior Solutions Architect at Databricks. Angela Chu holds Master’S Degree, Software Engineering from Uc San Diego.

Company email context

Email format at Databricks

This section adds company-level context without repeating Angela Chu's masked contact details.

{first}.{last}@databricks.com
89% confidence

AeroLeads found 1 current-domain work email signal for Angela Chu. Compare company email patterns before reaching out.

Profile bio

About Angela Chu

In the digital age, Information is the new currency. I've spent more than 20 years turning data into Information.I've managed cross-functional teams that deliver complete solutions from data ingestion through presentation. I've architected and implemented all aspects of turning data into Information - defining what the data should look like coming in, defining what the Information needs to be coming out, and all of the complex steps in between.New technologies come out every year that make turning data into Information easier. I enjoy the challenge of learning the new technologies and determining how they can be best applied in a given situation.I make it a priority to mentor others on the process of transforming data into Information, and building strong multi-function teams around it.Specialties: Business Roadmapping, Data Architecture and Data Solution Architecture, Data Warehouse Design, Data Processing Workflow, Data Modeling, learning new technologies, cross-cultural and cross-timezone coordination and communications, troubleshooting and problem solving, mentoringTechnologies: Databricks Platform, AWS (Redshift, RDS, S3, Kinesis Firehose, Kinesis Streams, DynamoDB, Lambda, EMR, Elasticache Redis, EC2), Azure (Databricks, Networking, EventHubs, Azure DB), Vertica, HBase, MongoDB, Oracle, SQL Server, Hadoop Ecosystem, ER Studio, ERWin, ANSI SQL, PL/SQL, T-SQL, Scala, Java, Jira, Agile Central (Rally)

Listed skills include Software Development, Sql, Agile Methodologies, Databases, and 30 others.

Current workplace

Angela Chu's current company

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

Databricks
Databricks
Helping companies solve the world’s toughest problems with Databricks. We are hiring for all positions - reach out to me!
160 Spear Street 13th Floor San Francisco, CA 94105 United States
Website
Employees
51
AeroLeads page
8 roles · 30 years

Angela Chu work experience

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

Lead Solutions Architect

Current

San Francisco, Ca, Us

Aug 2023 - Present

Senior Solutions Architect

San Francisco, Ca, Us

Aug 2021 - Aug 2023

Solution Architect

San Francisco, Ca, Us

Dec 2019 - Aug 2021

Staff Im Big Data Architect

San Diego, Ca, Us

• Created a technical roadmap for the entire back-end ecosystem for a novel Verance product, including ingestion and device management services, data processing, data storage and visualization. Led the high-level architecture for all components and identified the technologies and skills needed for implementation. The solution utilized AWS technologies such as Redshift, DynamoDB, EMR, Kinesis Firehose, Lambda, S3 and ECS. Successfully drove the project from business vision to production release in 10 months.• Managed a multi-discipline technical team of 6 engineers in the implementation of all components. Coordinated relationships with stakeholders and ensured the successful completion of all projects. • Lead the adoption of Cloud Solutions (AWS), DevOps processes and Agile Project Management (Scrum) for the development of the new product. Communicated the benefits to the executives and trained personnel in AWS tools and technologies, Agile Central and Jira. This enabled the team to meet all deadlines for implementation and keep costs low.• Lead the data architecture, data modeling, data dictionary creation and data lineage mapping process for all components for both NoSQL (DynamoDB) and SQL (Redshift, RDS) platforms using ER Studio.• Architected and led the development of a Big Data processing pipeline using Spark Scala and EMR. Due to the adoption of AWS, DevOps and Agile it was deployed to production in 6 months.

Mar 2016 - Dec 2019

Data And Solution Architect For Print Big Data

Hp

Palo Alto, Ca, Us

• Architected, designed and led implementation of a Big Data system used by HP Print management to determine new marketing strategies and drive the direction of new products and services. Specified architectural requirements and design for ingestion, processing, storage and reporting, and determined the technology stack for the solution. Consulted and reviewed high and low-level design utilizing JBOSS, Hadoop Map/Reduce, HBase and Vertica. Coordinated the development and delivered on time in spite of a short time line, steep learning curves and geographically distributed resources across the US, India, Malaysia and Singapore.• Provided deep technical expertise for Vertica. Published best practices for querying, table/projection design and loading mechanisms for large volumes of data on Vertica. Guided teams’ implementation of the best practices to improve the performance of an unstable multi-tenant 52-node Vertica cluster. Implemented Vertica data loading scripts and Vertica tables and projections. Continually optimized and updated projections and queries based on interactions with stakeholders. Interacted with the internal Vertica DBA team and external Vertica support to further optimize the cluster for all tenants on the Vertica cluster.

Nov 2012 - Feb 2016

Manufacturing Data And Solution Architect, Information Management Domain Lead

Hp

Palo Alto, Ca, Us

• Created short, mid and long-term roadmaps for all applications in the Information Management domain for HP Inkjet Cartridge Manufacturing. Requested and justified projects each fiscal year to implement aspects of the roadmap. Identified and coordinated resources for projects, and reviewed architecture and high-level design for each project in the domain.• Architected and led the design of a high volume auto-scaling data load and storage solution for world-wide HP Inkjet Cartridge Manufacturing that dropped the data latency from hours to minutes.• Established and enforced database and data architecture standards across the organization - the use of Erwin, Oracle and SQL Server naming standards, usage of PL/SQL, data dictionary standards and conceptual modeling standards. Guided and participated in the high and low-level design of Data Engineering projects across the Information Management domain for Inkjet Cartridge manufacturing.

Sep 2010 - Oct 2012

Data Modeler And Dba, Data Engineering And Reporting Solution Specialist

Hp

Palo Alto, Ca, Us

• Created data collection, reporting and analysis solutions for Inkjet Cartridge Manufacturing and testing.• Defined logical and physical data models and defined and enforced worldwide data collection specifications for manufacturing tools.• Educated other data modelers on the appropriate uses for normalized vs. dimensional (star schema) modeling techniques. Reviewed and approved physical data models for projects across the organization.• Designed, implemented and monitored data processing jobs using Oracle PL/SQL and SQL Server Stored Procedures that were tightly integrated with Inkjet Cartridge manufacturing lines and test areas.• Designed and wrote reports for Inkjet Cartridge Manufacturing and test data using both in-house and COTS tools, against both tightly controlled and loose data sources.• Managed and maintained Oracle and SQL Server databases used for both real-time data collection and data warehousing. Monitored and tuned performance, backups and statistics jobs. Managed user access.• Educated data consumers on the use of SQL. Wrote, debugged and optimized data consumer queries against large volumes of data.

2002 - Aug 2010

Manufacturing Line Solutions Lead, Assistant Dba And Data Modeler

Hp

Palo Alto, Ca, Us

• Provided query tuning and analysis support on Oracle, Informix and SQL Server databases for data consumers on four different sites around the world for Inkjet Cartridge R&D and manufacturing process data.• Designed, implemented and maintained an automated system for Statistical Process Control on a manufacturing line in San Diego.• Lead the monitoring and improvement of operations for Inkjet supply and packaging lines in San Diego. Monitored data collection and SPC processes, as well as systems responsible for package labeling.• Assisted in the management of nine Informix databases used for Inkjet Cartridge manufacturing and R&D testing, including updating tables and stored procedures, archival and backup processes, disaster recovery and data consumer query construction and tuning.• Created and maintained Erwin diagrams and database dictionaries for all physical data models.Architected a replacement for a third-party Manufacturing Execution system. Coordinated replacement activities, monitored the new system.• Was on-call 24/7 for one week out of every six to address manufacturing line issues.

1997 - 2002 ~5 yrs
Team & coworkers

Colleagues at Databricks

Other employees you can reach at databricks.com. View company contacts for 51 employees →

2 education records

Angela Chu education

Master’S Degree, Software Engineering

Uc San Diego

Bachelor’S Degree, Computer Science

Uc San Diego
FAQ

Frequently asked questions about Angela Chu

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

What company does Angela Chu work for?

Angela Chu works for Databricks.

What is Angela Chu's role at Databricks?

Angela Chu is listed as Helping companies solve the world’s toughest problems with Databricks. We are hiring for all positions - reach out to me! at Databricks.

What is Angela Chu's email address?

AeroLeads has found 1 work email signal at @databricks.com for Angela Chu at Databricks.

What is Angela Chu's phone number?

AeroLeads has found 4 phone signal(s) with area code 858 for Angela Chu at Databricks.

Where is Angela Chu based?

Angela Chu is based in San Diego, California, United States while working with Databricks.

What companies has Angela Chu worked for?

Angela Chu has worked for Databricks, Verance, and Hp.

Who are Angela Chu's colleagues at Databricks?

Angela Chu's colleagues at Databricks include Ann Zhang, Abhi A., Parth Kamble, Mhd Undefined, and Ester Shmulyian.

How can I contact Angela Chu?

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

What schools did Angela Chu attend?

Angela Chu holds Master’S Degree, Software Engineering from Uc San Diego.

What skills is Angela Chu known for?

Angela Chu is listed with skills including Software Development, Sql, Agile Methodologies, Databases, Java, Data Architecture, Software Engineering, and Data Warehouse Architecture.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.