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 using Jenkins• 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• Configured applications hosted on AWS with Chef• Developed following Agile methodology while using Jira and Confluence

• 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