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  • France

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adelphe/README.md

I'm a Data & AI Engineer specializing in designing end-to-end data systems and agentic AI pipelines that turn business data into intelligent, autonomous action. My work sits at the intersection of modern data engineering and applied AI.

I care deeply about data observability, pipeline reliability, and making complex data architectures legible and maintainable at scale. I build systems that don't just move data, they make it trustworthy and actionable.


🎯 Core Expertise

⚙️ Data Engineering

  • Pipelines — ETL, ELT, Batch & Streaming Ingestion
  • Orchestration — Workflow scheduling & dependency management
  • Storage — Data Warehouse, Data Lake, Lakehouse architectures
  • Formats — Delta Lake, Apache Iceberg
  • Compute — Distributed processing at scale with Apache Spark

🤖 Agentic AI Systems

  • AI Agents — Design & deployment of autonomous AI agents
  • LLM Pipelines — Prompt engineering, RAG, tool-calling workflows
  • Business Automation — Transforming business logic into AI-driven systems
  • Integration — Connecting data assets to AI reasoning layers
  • Monitoring — Evaluation and observability for AI agent behavior

🔬 Observability Philosophy

"You can't improve what you can't measure."

Every system I build is designed with full-stack observability from day one:

Data Quality Alerting Performance Metrics Cost Management Data Lineage


🛠️ Tech Stack

🔄 Orchestration & Transformation

Apache Airflow dbt Microsoft Fabric

🏗️ Storage, Compute & Lakehouse

Apache Spark Delta Lake Apache Iceberg Databricks Snowflake DuckDB PostgreSQL

☁️ Cloud & Infrastructure

Azure

📊 Business Intelligence & Visualization

Power BI

💻 Languages

Python SQL PowerShell DAX


📈 GitHub Stats

GitHub Stats Top Languages
Activity Graph

🤝 Let's Connect

I'm always open to discussing data architecture challenges, AI agent design patterns, or potential collaborations on open-source tooling.

LinkedIn Email

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  1. adelphe adelphe Public

    Config files for my GitHub profile.