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abdalla92/README.md

Hi there 👋

Welcome to my GitHub profile! I'm Abdullahi Osman, a passionate Data Engineer and Cloud Technologies Enthusiast dedicated to building scalable, efficient data solutions that drive business value.

🚀 About Me

  • 📍 Location: Toronto, Canada
  • 🛠️ Profession: Data Engineer & Cloud Enthusiast
  • 🏗️ Expertise: Designing and implementing robust ETL pipelines, data warehouses, and analytics platforms
  • 💻 Tech Stack: Python • SQL • Apache Spark • Airflow • Snowflake • Oracle • MongoDB • Cassandra
  • 🤖 Interests: Machine learning and AI integrations in data pipelines
  • 🌱 Philosophy: Active open-source collaborator and continuous learner

🛠️ Technical Skillset

Programming & Languages

  • Python | SQL | PL/SQL | Shell Scripting | PySpark

Data Engineering & Platforms

  • ETL/ELT | Data Warehousing | Snowflake | Apache Spark | Apache Airflow | Kafka

Databases & Storage

  • Relational: Oracle, SQL Server, Snowflake, PostgreSQL, MySQL
  • NoSQL: MongoDB, Cassandra
  • Cloud Storage: AWS S3, Azure Blob Storage

Cloud & Infrastructure

  • Platforms: Azure | AWS | Snowflake | Databricks | IBM Cloud | OCI
  • Tools: Docker | Git | Terraform | CI/CD | Ansible

Analytics & Visualization

  • Power BI | Looker Studio | Cognos Analytics | Tableau

📈 GitHub Statistics

Metric Count
📦 Repositories 29+
🌟 Starred Projects 3+
👨‍💻 Open Source Contributions Active
🔬 Technologies Explored 15+

📚 Featured Projects

1. Snowflake Data Pipeline

Building scalable end-to-end data pipelines with Snowflake

  • ✨ JSON ingestion from S3 via Snowpipe
  • 🔄 CDC streams + incremental MERGE operations
  • 🌍 Geolocation enrichment with timezone conversions
  • Tech: Snowflake | S3 | CDC Streams | SQL

2. Machine Learning with Apache Spark

Applying ML models at scale using Apache Spark

  • 🤖 Classification and regression pipelines
  • 📊 Feature engineering and optimization
  • Tech: PySpark | MLlib | Python

3. BI Dashboards

Visual analytics on car sales data

  • 📈 Interactive dashboards for business insights
  • 🎯 KPI tracking and trend analysis
  • Tech: Cognos Analytics | Looker Studio | SQL

4. Streaming ETL Pipeline with Kafka

Real-time data streaming and processing

  • ⚡ Event-driven architecture
  • 🔄 Kafka producers/consumers
  • 💾 Incremental data loading
  • Tech: Apache Kafka | Python | SQL

📫 Get in Touch

Let's collaborate on impactful data solutions! Feel free to reach out:

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