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Kenantkurt/README.md

Hi, I'm Kenan 👋

Aspiring Data Engineer building data pipelines with SQL, Python, Docker, and BigQuery.

🚀 Data Pipelines | ⚙️ ETL | 🐍 Python | 🐳 Docker | 🗄️ SQL | ☁️ BigQuery

Interested in ETL workflows, data infrastructure, and scalable data systems.

🚀 About Me

• Building hands-on data projects using SQL, Python, BigQuery, and Docker
• Building and experimenting with data pipelines and ETL workflows • Currently learning Data Engineering through Data Engineering Zoomcamp
• Background in Data Analytics (Le Wagon)
• Strengthening Python and data engineering skills through real-world projects
• Interested in data infrastructure, pipelines, and analytics engineering
• Curious about E-commerce, Logistics, and Operational Data Systems

🧰 Tech Stack

Core Skills

• SQL (MySQL, BigQuery)
• Python (Pandas, data processing)
• Data Cleaning & Transformation

Data Engineering

• Data Pipelines
• ETL Processes
• Data Modeling
• BigQuery
• Docker

Tools

• Git & GitHub
• Docker
• VS Code
• Google Sheets
• Excel

📂 Projects

Here are some of the areas covered in my projects:

• SQL Data Analysis – complex queries, joins, aggregations
• Python Data Processing – data cleaning and transformation using Pandas
• BigQuery Analytics – querying and analyzing large datasets
• Data Engineering Practice Projects – pipeline and ETL practice
• End-to-End Data Projects – exploring datasets and building workflows

➡️ Check the pinned repositories below for my latest projects.

🚧 Currently Working On

• End-to-end data pipeline projects
• BigQuery analytics workflows
• Docker-based data engineering environments
• Improving advanced SQL and Python skills

📫 Contact

LinkedIn:
https://www.linkedin.com/in/kenan-tufan-k-263000308

Email:
kenantkurt@gmail.com

⭐ Thanks for visiting — more data engineering projects coming soon.

Pinned Loading

  1. docker-data-pipeline docker-data-pipeline Public

    Dockerized ETL pipeline built with Python and PostgreSQL to ingest, process, and load retail transaction data for analytics.

    Jupyter Notebook

  2. sql-financial-analytics-pipeline sql-financial-analytics-pipeline Public

    End-to-end SQL analytics pipeline built in BigQuery to join sales, product, and shipping data, compute financial KPIs, and analyze monthly profitability.

  3. airbnb-analytics airbnb-analytics Public

    Airbnb demand and occupancy analysis using SQL and Looker Studio

  4. ml-pipeline-missing-encoding-house-prices ml-pipeline-missing-encoding-house-prices Public

    End-to-end ML pipeline with missing value handling, encoding strategies, and RandomForest model (RMSE ~28K)

    Jupyter Notebook