class DuyNguyen:
def __init__(self):
self.role = "Data Engineer"
self.pronouns = "he/him"
self.languages = ["Python", "SQL", "Scala", "Java", "Go"]
self.specialties = ["ETL/ELT", "Data Pipelines", "Big Data", "Cloud Computing"]
def current_focus(self):
return "Building scalable data infrastructure and AI-powered analytics"
def ask_me_about(self):
return ["data engineering", "big data", "cloud data platforms", "ML pipelines"]
def technologies(self):
return {
"data_platforms": ["Apache Airflow", "Apache Spark", "Apache Kafka", "Apache Beam"],
"databases": ["PostgreSQL", "BigQuery", "Snowflake", "MongoDB", "Redis"],
"cloud": ["GCP", "AWS", "Azure", "Docker", "Kubernetes"],
"ml_ops": ["MLflow", "Kubeflow", "TensorFlow", "PyTorch", "Apache Airflow"],
"monitoring": ["Grafana", "Prometheus", "DataDog", "ELK Stack"]
}
def fun_fact(self):
return "I turn raw data into actionable insights → 💡"
def gaming(self):
return "TFT meta enthusiast - always up to date with the latest strategies! 🎮"
- 🔭 I'm currently working on Big Data Pipelines and ETL/ELT processes
- 🌱 I'm currently learning Advanced Data Engineering patterns and MLOps
- 🎱 I'm looking to collaborate on Open Source Data Engineering projects
- 💯 I'm looking for help with Distributed Systems optimization
- 🎉 Ask me about Data Engineering, Big Data, and Cloud Data Platforms
- 📫 How to reach me: duynguyenngoc@hotmail.com
- ⚡ Fun fact: I love building data pipelines that can handle millions of records per second
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