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  • TamilNadu
  • 13:15 (UTC +05:30)

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Achievement: Pull Shark

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Achievement: Pull Shark

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zBalachandar/README.md

👋 Hello, I'm Balachandar.S!

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🌟 About Me

Hello! I'm Balachandar S, a fresher Azure Data Engineer passionate about transforming data into actionable insights using cloud technologies. My journey in data engineering has just begun, but I'm enthusiastic about learning and growing in this dynamic field.

  • 💻 Currently Exploring: Azure Data Factory, Azure Databricks, Azure Synapse Analytics
  • 📚 Always Learning: Advanced Data Engineering, Big Data, Machine Learning
  • 🌱 Looking to Collaborate on: Open-source data projects and innovative cloud solutions

🛠️ Tech Stack & Skills

Skill Description
Cloud Platforms Azure (Data Factory, Databricks, Synapse Analytics)
Data Tools SQL, Python, Power BI
Programming Python, SQL, PowerShell
DevOps Git, GitHub, CI/CD
Other ETL Processes, Data Modeling, Data Warehousing

📊 Projects & Contributions

🚀 Azure ETL Pipeline

Designed and implemented an ETL pipeline using Azure Data Factory to automate data flow between various systems, improving efficiency and data accuracy.

📈 Data Warehouse with Azure Synapse

Built a data warehouse solution with Azure Synapse Analytics to centralize and analyze data, providing valuable business insights.

📊 Interactive Dashboards

Developed interactive dashboards with Power BI to visualize key business metrics, aiding in data-driven decision-making.

💡 What I'm Learning

  • Advanced Azure Services: Delving deeper into Azure's comprehensive suite of data services.
  • Big Data: Exploring Hadoop, Spark, and other big data technologies.
  • Machine Learning: Integrating AI and machine learning into data pipelines.

🌟 Goals

  • Contribute to impactful open-source projects.
  • Continuously enhance my cloud and data engineering skills.
  • Build a network with professionals and learn from their experiences.

📫 Get in Touch

🔍 Fun Fact

I enjoy solving complex data puzzles and am always on the lookout for innovative ways to streamline data processes and workflows!

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  1. AdventureWorks-Sales-Data-Analytics-Azure-Data-Engineering-End-to-End-Project-13 AdventureWorks-Sales-Data-Analytics-Azure-Data-Engineering-End-to-End-Project-13 Public

    This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2017LT Database.

    Jupyter Notebook 3 1

  2. Tokyo-Olympic-Data-Analytics-Azure-End-To-End-Data-Engineering-Project-12 Tokyo-Olympic-Data-Analytics-Azure-End-To-End-Data-Engineering-Project-12 Public

    Tokyo-olympic-azure-data-engineering-end-to-end-project

    HTML 1

  3. ADF-End-to-End-DataEngineering-Pipeline-Project-03 ADF-End-to-End-DataEngineering-Pipeline-Project-03 Public

    End to End Pipeline project by ADF

  4. Pizza-Sales-Data-Analytics---End-to-End-Azure-Data-Engineering-Production-level-project-01 Pizza-Sales-Data-Analytics---End-to-End-Azure-Data-Engineering-Production-level-project-01 Public

    Jupyter Notebook 1

  5. Sales-Analysis-End-to-End-Pyspark-Real-Time-prod-project-02. Sales-Analysis-End-to-End-Pyspark-Real-Time-prod-project-02. Public

    This is complete End to End PySpark project and we have covered each and every thing with PySpark Example and PySpark Project Scenario.

    Jupyter Notebook