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emsalcengiz/README.md

Hi there, I'm Emsal 👋

🚀 I'm a Senior Data Engineer at Accenture, designing and building scalable, cloud-native data platforms for global enterprise clients.

What I do

🌐 I turn complex, raw data into reliable and actionable insights using:

    ☁️ Cloud Platforms
      • Azure (Data Factory, Functions, Databricks, Data Lake, Blob Storage)
      • AWS (S3, Athena, Lambda, Glue – project-based)

    🐍 Python & PySpark for large-scale data processing
    ⚙️ Apache Spark for distributed batch & streaming workloads
    📊 Power BI & Tableau for analytics and data storytelling

How I work

⏱ Experienced in both:

  • ⚡ Real-time & near real-time processing
    (Spark Structured Streaming, event-driven pipelines)
  • 🧱 Batch data pipelines
    (ETL/ELT, data modeling, historical backfills, reporting layers)

🧰 My toolkit also includes:

  • 🗄️ Data Lakes & Storage: Parquet, Delta Lake, partitioned data models
  • 🔁 APIs & Integrations: REST APIs, webhooks, external data ingestion
  • ⛓️ Orchestration: Apache Airflow, Azure Data Factory
  • 🐳 Docker for reproducible environments
  • 🚀 CI/CD: Git-based pipelines for automated deployment & quality checks
  • 🔍 Data quality & reliability: monitoring, validation, and observability

📚 Currently Exploring

🔬 Cloud-agnostic data architecture & cost-efficient design
📐 Advanced data modeling & analytics engineering
🧠 Data reliability, observability, and data-as-a-product mindset
🤖 Modern data platforms & AI-ready pipelines

⚡ Fun fact

I enjoy building data pipelines that are boring in production —
because boring means reliable, scalable, and well-designed ✨

Pinned Loading

  1. data-normalize-with-etl-procesess data-normalize-with-etl-procesess Public

    I made various data normalization operations with python scripts. Target data in CSV format

    Python 3 1

  2. Etl_processing Etl_processing Public

    I find Apache Airflow very useful for ETL work. Here I transferred data from the source database(mysql) to the target database(postresql) and used the Airflow Bash Operator.

    Python 1 1

  3. filtering-process filtering-process Public

    You can do a lot of things with Apache Spark. What I've done here is to work with a static file and create a Batch ETL system.

    Python

  4. get_users get_users Public

    After ETL done by reading static data, an API is designed with flask_sqlalchemy, the purpose is to show the top five users

    Python

  5. random-data-generation random-data-generation Public

    Generating random data with Apache Kafka

    Python

  6. Apache-Beam-examples Apache-Beam-examples Public

    liked Apache Beam for streaming data transformations

    Python