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Kevin Thai Email & Phone Number

Senior Data Engineer | Building Reliable Data Pipelines
Location: San Francisco, California, United States 6 work roles 1 school
2 work emails found @salesforceiq.com 1 phone found area 415 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 2 work emails · 1 phone

Work email k****@salesforceiq.com
Direct phone (415) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Senior Data Engineer | Building Reliable Data Pipelines
Location
San Francisco, California, United States

Who is Kevin Thai? Overview

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Quick answer

Kevin Thai is listed as Senior Data Engineer | Building Reliable Data Pipelines based in San Francisco, California, United States. AeroLeads shows a work email signal at salesforceiq.com, phone signal with area code 415, and a matched LinkedIn profile for Kevin Thai.

Kevin Thai previously worked as Lead Data Engineer at Salesforce and Senior Data Engineer at Salesforce. Kevin Thai holds Computer Science from University Of California, Davis.

Company email context

Email format at salesforceiq.com

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{first}.{last}@salesforceiq.com
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AeroLeads found 2 current-domain work email signals for Kevin Thai. Compare company email patterns before reaching out.

Profile bio

About Kevin Thai

Please feel free to reach out and connect!★ Proficient in building reliable data pipelines, producing trustworthy data, and enabling strategic business decisions.★ Love collaborating with others and working in cross-functional environments. Experience in leading small teams and mentoring team members.★ Extensive knowledge in distributed systems, data warehousing, data architecture, data integration, data migration, & data quality

Listed skills include Java, Agile Methodologies, Javascript, Node.Js, and 33 others.

6 roles

Kevin Thai work experience

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

Lead Data Engineer

San Francisco, California, US

  • Developed scalable ETL pipelines with an accompanying Tableau dashboard that garnered the most views by all Salesforce employees
  • Consolidated pipelines and datasets by 70% to significantly reduce the amount of product maintenance
  • Enabled self-service capabilities for employees to query data through a scalable big data ecosystem that is hosted on AWS, orchestrated through Airflow, and managed with Terraform
Mar 2022 - Jul 2023

Senior Data Engineer

San Francisco, California, US

  • Created high-performing ETL pipelines to process terabytes of Salesforce log data and maintain GDPR compliance
  • Optimized the efficiency of Spark jobs by 60% through metadata-driven preprocessing and fine-tuning
  • Conducted extensive cloud migration of datasets and applications to AWS
Jun 2019 - Feb 2022

Data Engineer

San Francisco, California, US

  • Developed Spark/Scala applications that are scheduled with Azkaban to ingest data from multiple AWS datacenters
  • Ensured clean and compliant data by incorporating a PostgreSQL user-token mapping table and data quality checks
  • Equipped the team with self-service analytical capabilities through Redshift queries and Looker dashboards, leading to critical insights on KPIs and AWS infrastructure costs over time
Jun 2017 - May 2019

Data Engineer

Sunnyvale, CA, US

  • Created a global geodatabase from scratch by building a scalable Spark application that collects geographical data points, presently containing over 300 million entries. Code is optimized, configurable, and automated.
  • Implemented S3 datastore from time-series events in Kafka for cost savings. Data is indexed using Elastic Search, tokens are cached in Redis, and data is fetched using Spark Streaming.
  • Implemented anomaly detection using Falkonry, forward geocoding using Postgresql/TigerDB, and reverse geocoding using Aerospike
  • Developed Spark pipelines and tools to assist in creation of user database
  • Built applications in Scala and Java for data enrichment, cleansing, and validation
Mar 2016 - Mar 2017

Software Engineer

Samsung
  • Implemented Kafka message queue system with Java and NodeJS
  • Built map-reduce tools using AWS EMR to analyze big data with Apache Hadoop/Impala
  • Created analytics dashboards with Javascript, Twitter Bootstrap, and Google Charts
  • Conducted performance, regression, and load testing with JMeter, MySQL, AWS S3, AWS Redshift, Apache Hadoop
  • Created views within CouchDB for data migration to Cassandra
  • Monitored applications with Statsd/Graphite, Spark, Grafana, Sensu, and PagerDuty alerts
Sep 2014 - Feb 2016

Software Engineer

Uc Davis Technology Center
  • Helped create Aggie Feed for the UCD student portal
  • Gained experience working with Mule ESB, Google API, and Spring API
  • Performed JUnit and Selenium tests
  • Adhered to the agile software development process
Jun 2013 - May 2014
1 education record

Kevin Thai education

  • University Of California, Davis
    University Of California, Davis
    Computer Science
FAQ

Frequently asked questions about Kevin Thai

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

What is Kevin Thai's role at their current company?

Kevin Thai is listed as Senior Data Engineer | Building Reliable Data Pipelines.

What is Kevin Thai's email address?

AeroLeads has found 2 work email signals at @salesforceiq.com for Kevin Thai.

What is Kevin Thai's phone number?

AeroLeads has found 1 phone signal(s) with area code 415 for Kevin Thai.

Where is Kevin Thai based?

Kevin Thai is based in San Francisco, California, United States.

What companies has Kevin Thai worked for?

Kevin Thai has worked for Salesforce, Personagraph, Samsung, and Uc Davis Technology Center.

How can I contact Kevin Thai?

You can use AeroLeads to view verified contact signals for Kevin Thai, including work email, phone, and LinkedIn data when available.

What schools did Kevin Thai attend?

Kevin Thai holds Computer Science from University Of California, Davis.

What skills is Kevin Thai known for?

Kevin Thai is listed with skills including Java, Agile Methodologies, Javascript, Node.Js, C++, Amazon Web Services, Object Oriented Design, and Php.

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