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Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of soft skills do we need, how do I start my professional career in this field.

License: MIT License

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data-analyst-roadmap's Introduction

๐Ÿ‘‹๐Ÿผ Hi there! I'm Mehmet Tahir, ๐Ÿ’ป a data engineer from Turkey.

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I'm a professional Data Engineer with over 4 years of experience transforming raw data into meaningful insights. Passionate about solving complex data problems, I have a proven track record of implementing scalable data pipelines and analytics solutions that drive strategic decisions. Here's a bit about what I do and what I love in the realm of data engineering.

- ๐Ÿ›  Tech Stack

Here are some of the technologies I've worked with:

  • Programming Languages: Python, SQL
  • Databases: Oracle, PostgreSQL, Microsoft SQL Server
  • Cloud Platforms: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure
  • Big Data Technologies: Apache Spark, Apache Airflow, Databricks, dbt
  • Cloud Data Warehousing: Amazon Redshift, Google Big Query
  • DevOps Tools: Docker
  • Version Control: Git, Github
  • Documentation: Confluence
  • Project Management: Jira
  • Data Visualization/BI Tools: Microsoft Power BI, Qlik, Tableau

- ๐Ÿ’ฌ Ask me about anything, I am happy to help

- ๐Ÿ“ซ How to reach me: [email protected]

Technologies & Tools:

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