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Building data pipelines & learning Microsoft Fabric every day
πŸ“Š
Building data pipelines & learning Microsoft Fabric every day

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πŸ‘οΈ Personal_website_-_ivaneklumberjack888.github.io πŸ‘€

Ivo Dolezal πŸͺ“

IvanekLumberjack888 | Junior Data Engineer

Data Engineer | Azure Data Platforms | Microsoft Fabric
Building production-grade data pipelines with Azure Data Factory, Databricks & Fabric
Focused on Python | SQL | PySpark | Cloud Data Engineering
πŸ“ Brno, CZ | 🌍 Remote-friendly | πŸŽ“ DP-700 Preparation


πŸ‘€ About Me

I'm a Junior Data Engineer specializing in Azure data platforms and Microsoft Fabric – modern cloud data engineering.

What I do:

  • Building production-grade data pipelines with Azure Data Factory & Databricks
  • Working with event-driven architectures (Event Hub, Service Bus)
  • Preparing for DP-700: Fabric Data Engineer certification β†’ Public learning repo πŸ‘€
  • Real-world experience with cloud data integration

Tech Focus:

Azure Data Factory | Databricks | Microsoft Fabric
Event Hub | PySpark | Data Engineering
Real-time Pipelines | ETL/ELT | Cloud Integration

Philosophy: Data engineering is about building reliable, scalable pipelines
that move, transform, and deliver data. Precision matters. πŸͺ“


πŸ› οΈ Tech Stack

Languages & Frameworks

  • Python: Pandas, PySpark, Jupyter
  • SQL: T-SQL, query optimization, data modeling
  • PySpark: Data transformations, Databricks

Cloud & Platforms

  • Azure Data Factory: ETL orchestration, pipeline design
  • Databricks: Spark workloads, data processing
  • Microsoft Fabric: OneLake, Notebooks, Data Warehouse
  • Event Hub & Service Bus: Real-time data streaming
  • Azure DevOps: CI/CD, repos, pipelines

Tools & Integration

  • IDE: VS Code, Jupyter, Databricks Notebooks
  • Version Control: Git, GitHub
  • Data Integration: REST APIs, event-driven architectures
  • Monitoring: Azure Monitor, logging strategies

πŸ“Š Featured Projects

1. πŸ—οΈ Azure Data Integration Pipeline

  • Tech: Azure Data Factory, Databricks, Event Hub
  • Desc: Production ETL workflows with event-driven architecture
  • Focus: Real-time data processing, pipeline orchestration

2. πŸ“Š ETL Pipeline Project

  • Tech: Python, SQL, PySpark, Data transformation
  • Desc: Complete ETL workflow with data quality checks
  • GitHub: Link

3. ✨ Fabric Notebook Experiments

  • Tech: Microsoft Fabric, PySpark, Notebooks
  • Desc: Exploring Fabric platform, OneLake & data lakehouse patterns
  • GitHub: Link

4. 🌐 Data Extraction & Processing

  • Tech: Python, BeautifulSoup, REST APIs
  • Desc: Automated data extraction pipelines
  • GitHub: Elections Scraper

5. πŸ’Ό Portfolio Website

AND MANY [MORE]


πŸ“Š GitHub Stats

GitHub Stats Top Languages


πŸŽ“ Learning & Certifications

  • 2026: DP-700 Certification (Microsoft Fabric Data Engineer Associate) - In Progress
  • 2026: Azure data engineering & event-driven architectures
  • Ongoing: Real-world projects, cloud patterns, best practices
  • Focus Areas: Data lakehouse, medallion architecture, real-time pipelines

πŸ“« Connect


Status: Building, shipping, growing πŸš€

@IvanekLumberjack888's activity is private