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dar4datascience/README.md

πŸ‘‹ Hey there! I'm Daniel Amieva Rodriguez

πŸš€ Senior Data Engineer | AWS Specialist | AI/ML Enthusiast

Snake animation


🎯 About Me

class DataEngineer:
    def __init__(self):
        self.name = "Daniel Amieva Rodriguez"
        self.role = "Senior Data Engineer @ TeamStation"
        self.location = "🌎 Working with international clients"
        self.languages = ["Python", "R", "SQL", "JavaScript"]
        self.current_focus = ["AWS Data Lakes", "AI-Powered BI", "Streaming Pipelines"]
        
    def say_hi(self):
        print("Thanks for dropping by! Let's build something awesome together πŸš€")

me = DataEngineer()
me.say_hi()

πŸ’Ό Currently: Building cutting-edge data infrastructure at TeamStation (May 2024 - Present)

  • πŸ—οΈ Architecting AWS data lakes from scratch with medallion architecture
  • πŸ”„ Streaming data pipelines with DMS, Glue, Step Functions & Lambda
  • πŸ€– Integrating LLMs for natural language querying and automated visualizations
  • πŸ“Š Connecting BI tools with AI-powered insights
  • πŸ“š Establishing Quarto-based documentation systems with AI enhancement
  • βš™οΈ Building CI/CD pipelines with GitHub Actions

πŸ› οΈ Tech Stack & Tools

☁️ Cloud & Data Engineering

AWS AWS Glue AWS Lambda Step Functions DMS

πŸ’» Languages & Frameworks

Python R SQL JavaScript HTML5

πŸ€– AI/ML & Data Science

OpenAI LangChain Ollama ChromaDB DuckDB

πŸ”§ DevOps & Tools

GitHub Actions Docker Git Quarto

πŸ“Š Data Visualization & BI

Shiny ggplot2 Plotly

🧰 R Ecosystem Favorites


πŸ“Š GitHub Stats & Activity

GitHub Stats

Top Languages

GitHub Streak

πŸ“ˆ Contribution Graph

Activity Graph


🌟 Featured Projects

Curriculum-Vitae Demo-Ingest-Repository

Local-LLM-4-MX-Bank-Statements Quacky-DENUE

🎯 Notable Repositories


🎯 Current Focus

learning:
  - Advanced AWS data lake patterns
  - LLM fine-tuning and prompt engineering
  - Real-time streaming architectures
  - AI-powered data quality frameworks

building:
  - Medallion architecture implementations
  - Natural language to SQL interfaces
  - Automated documentation systems
  - CI/CD pipelines for data workflows

exploring:
  - Vector databases for semantic search
  - Automated data visualization generation
  - Snowflake schema optimization techniques

🎲 Fun Facts

  • πŸ”’ 193 repositories and counting (117 original, 76 forks)
  • 🐍 Python & πŸ“Š R are my data superpowers
  • πŸ€– Obsessed with making AI work for data teams
  • πŸ“š Documentation nerd (Quarto FTW!)
  • ☁️ AWS data services enthusiast
  • 🎯 Believer in the power of good data architecture

πŸ’­ "Data is the new oil, but only if you refine it properly"


⭐️ From dar4datascience | Built with πŸ’™ and lots of β˜•

Pinned Loading

  1. Curriculum-Vitae Curriculum-Vitae Public template

    Repository for automating CV generation

    R