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Focusing
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Focusing
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Achievement: Pull SharkAchievement: QuickdrawAchievement: Starstruck

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dain55788/README.md

👋 Hi, I’m Nguyen Dai, you can call me Dainy for short.

  • 🌱 I’m currently learning Advanced Python and SQL and get familiar with some technical tools such as Talend and Apache Airflow for ETL methods, Apache Kafka for streaming process and Apache Spark for hybrid approach.

  • <33 Furthermore, I am heading for advanced streaming data process and big data in some ecosystem such as Hadoop and Apache Spark.

  • 💞️ I’m looking to collaborate on NashTech, KMS Tech, VNG Corporation, NAB and different big data driven companies. 🚀 🚀
  • 📫 How to reach me : dainnguyen1307@gmail.com

Connect with me through Linkedin and Facebook

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Skills

Python Badge Apache Airflow Badge Apache Kafka Badge Apache Spark Badge Apache Hadoop Badge Apache Hive Badge Snowflake Badge Docker Badge MySQL Badge PostgreSQL Badge Apache Cassandra Badge MongoDB Badge Trino Badge DBeaver Badge dbt Badge

Other:

Git Badge Claude Badge

My GitHub Stats

Coding


dain55788








 dain55788











© 2025 Nguyen Dai

Pinned Loading

  1. End-To-End-Streaming-Big-Data End-To-End-Streaming-Big-Data Public

    End-To-End Streaming Big Data Project makes processing big data easy.

    Python 4 1

  2. ELT-Data-Pipeline ELT-Data-Pipeline Public

    ELT Data Pipeline implementation in Data Warehousing environment

    Jupyter Notebook 30 10

  3. Hadoop-High-Availability Hadoop-High-Availability Public

    Hadoop High Availability and Multi-node Architecture for HDFS Snapshot, Distributed Copy and Namenode HA.

    Shell

  4. Realtime-Streaming-Data Realtime-Streaming-Data Public

    Realtime Streaming Data Process using Kafka, Airflow and Spark.

    Python 1 1

  5. Automated-News-Collection Automated-News-Collection Public

    Automatically collect news articles

    Python 2

  6. streamify streamify Public

    Forked from ankurchavda/streamify

    A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

    Python 2