longNguyen010203
🌈🌊 I am self-learning to become a 💻 data engineer in the future 💪🌎📚
Thang Long UniversityHa Noi City
Pinned Repositories
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 ️🥇️🏆
Bank-DataWarehouse
📊🌈🏛 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 🏵️
Batch-Processing-with-Amazon-EMR
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-W3
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 🍁
Stream-Processing-with-Amazon-Kinesis
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.
longNguyen010203's Repositories
longNguyen010203/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 🌺
longNguyen010203/FDE-Course-2024-W3
longNguyen010203/FDE-Course-2024-W4-DBT
💻💛Fundamental Data Engineering Course 2024 Week4 Learn DBT Transform Data with Models, Macro, ELT-Pipeline with Dagster 🌎
longNguyen010203/ECommerce-ELT-Pipeline
🌄📈📉 A Data Engineering Project 🌈 that implements an ELT data pipeline using Dagster, Docker, Dbt, Polars, Snowflake, PostgreSQL. Data from kaggle website 🔥
longNguyen010203/InspireAI-Web-2024
🤖💎📺 This project involves creating an AI chatbot with OpenAI using ChatGPT, DALL-E, Codex, and Django to develop the web application 🍁
longNguyen010203/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.
longNguyen010203/100Day-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 ️🥇️🏆
longNguyen010203/Bank-DataWarehouse
📊🌈🏛 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 🏵️
longNguyen010203/Data-Structure---Algorithm-TLU
longNguyen010203/Databricks-ETL-Pipeline
longNguyen010203/InsightEats-Hanoi-Capital
longNguyen010203/LONGNGUYEN--AWS-Trainning--2024
☁️🌈🔥 Welcome to my AWS Cloud Training repository! This repo contains notes, exercises, and projects from my AWS Cloud training journey, showcasing my progress and understanding of AWS services. 💨
longNguyen010203/longNguyen010203
longNguyen010203/Spark-Kafka-Self-Learning
📚🌊🎓 A third-year student is self-studying Spark and Kafka as part of their 👷 data engineering journey, with the goal of securing an 📬 internship or fresher job in 2024.
longNguyen010203/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🥊
longNguyen010203/workshop-001
longNguyen010203/Batch-Processing-with-Amazon-EMR
longNguyen010203/Finance-Data-Ingestion-Pipeline-with-Kafka
longNguyen010203/Image-Classification-using-resnes18
longNguyen010203/longNguyen010203.github.io
AWS Data Engineer - Workshop
longNguyen010203/Stream-Processing-with-Amazon-Kinesis