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MarcusStill/README.md

Hi, I'm Mark 👋

Data Engineer with 3 years of commercial experience. I build efficient pipelines, data marts, and automate reporting.

🛠 Tech Stack

Core:
PythonSQLAirflowdbtPostgreSQLGreenplumClickHouse

Tools:
GitDockerSpark (PySpark) • Jupyter

📌 What I do

  • Build ETL/ELT pipelines from scratch
  • Design data marts for enterprise reporting
  • Optimize slow SQL queries
  • Automate workflows with Airflow and dbt

📫 Contact

Telegram LinkedIn

⚡ One more thing

I independently built a complete POS system in Python — from idea to production.

Pinned Loading

  1. PyMASL PyMASL Public

    POS-система для детского центра: учет посетителей, услуг и отчетность (full-cycle Python)

    Python

  2. dbt_practice dbt_practice Public

    Dbt practice: modular SQL, reusability (macros), data quality tests, and documentation

    PLpgSQL

  3. ClickHouseCource ClickHouseCource Public

    ClickHouse: query optimization, MergeTree engines, real-time data marts & cluster setup

  4. spark_practice spark_practice Public

    Local DWH sandbox: Spark cluster, Airflow DAGs, idempotent loads, S3-compatible storage

    Jupyter Notebook