My name is Tuân, currently, I am on the way to becoming a Data Engineer. I have a master's degree in Artificial Intelligence, Systems, and Data from PSL University.

• Programming Languages
  
• Data Technologies: Apache Spark, Kafka, Cassandra, LakeHouse
• GCP Services: Pub/Sub, DataFlow, BigQuery, Cloud Storage, DataPlex
• Deployment and Automation: Terraform, Bash Script, Ansible, GitLab CI
• Monitoring: Grafana
• Dashboard: Looker Studio
• Docker, Linux

I am spending some time on the following projects:

• IoT automobile: My first data pipeline for IoT connected device. In this project, I monitor data from automobile, and save the data to Big database. I have 2 solutions: GCP and Open-Source. You can check my source code (almost bash script and terraform)
• MLOps zoomcampt: An bootcamp from Datatalk club, in this boot camp I will learn how to deploy an end-to-end Machine Learning model. I will update homework and project regularly.
• TIAD: an NLP contest that I participated in 2021.

The books that I am reading:

• Fundamentals of Data Engineering (Book by Joe Reis and Matt Housley)
• Spark: The Definitive Guide: Big Data Processing Made Simple (Book by Matei Zaharia)
• Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create Scalable Pipelines that Ingest, Curate, and Aggregate Complex Data in a Timely and Secure Way (Book by Manoj Kukreja)