Hey, I'm Long Nguyen 👋

I am an Artificial Intelligence major in Vietnam with a passion for data engineer and I am actively seeking job opportunities in this field.

📦 Technologies

Languages: Python SQL PySpark Shell C++

Architecture: ETL ELT Lambda Kappa Star Schema Snowflake Schema

Processing: Spark Kafka Flink Dbt Pandas Polars Airbyte Numpy

Storage: PostgreSQL MySQL SQLServer Redshift Snowflake MinIO S3 SQLite

Cloud: S3 EC2 IAM VPC Redshift EMR Glue

Visualization: Seaborn Matplotlib

Scrapping: BeautifulSoup Selenium

Orchestration: Airflow Dagster

DevOps: Docker Terraform Git GitLab

Testing & Logging: Unittest Pytest Logging

⚡ Fun fact

One-Punch Man is my favorite anime.
I enjoy listening to gentle songs, but sometimes I also like remixes.
I'm 21 years old but I don't know how to swim.

📫 Contact

Connect with me, LinkedIn

Long Nguyen's Projects

100day-self-learning-de

📚💻⌨ Self-study process for more than 3 months with 3-4h/day to prepare for the journey of applying for an intern or fresher position as a Data Engineer in 2024 ️🥇️🏆

📊🌈🏛 This project develop a data warehouse for a bank using Amazon Redshift, VPC, Glue, S3 and DBT, following a ⭐ Star Schema architecture. The goal is to storage, manage, and optimize data to support decision making and reporting 🏵️

ecommerce-elt-pipeline

🌄📈📉 A Data Engineering Project 🌈 that implements an ELT data pipeline using Dagster, Docker, Dbt, Polars, Snowflake, PostgreSQL. Data from kaggle website 🔥

fde-course-2024-w4-dbt

💻💛Fundamental Data Engineering Course 2024 Week4 Learn DBT Transform Data with Models, Macro, ELT-Pipeline with Dagster 🌎

inspireai-web-2024

🤖💎📺 This project involves creating an AI chatbot with OpenAI using ChatGPT, DALL-E, Codex, and Django to develop the web application 🍁

spark-processing-aws

👷🌇 Set up and build a big data processing pipeline with Apache Spark, 📦 AWS services (S3, EMR, EC2, IAM, VPC, Redshift) Terraform to setup the infrastructure and Integration Airflow to automate workflows🥊

youtube-etl-pipeline

💜🌈📊 A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Metabase, Dbt, Polars, Docker. Data from kaggle and youtube-api 🌺

zillow-home-value-prediction

🌈📊📈 The Zillow Home Value Prediction project employs linear regression models on Kaggle datasets to forecast house prices. 📉💰Using Apache Spark (PySpark) within a Docker setup enables efficient data preprocessing, exploration, analysis, visualization, and model building with distributed computing for parallel computation.

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