Kevin Thai Email & Phone Number

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

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

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

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

• 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

• 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