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Config files for my GitHub profile.

Home Page: https://github.com/zBalachandar

azure azure-data-factory azure-pipelines data data-engineering databricks dp-203 etl-pipeline github hdfs

zbalachandar's Introduction

๐Ÿ‘‹ Hello, I'm Balachandar.S!

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๐ŸŒŸ 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.

  • ๐Ÿ’ป Currently Exploring: Azure Data Factory, Azure Databricks, Azure Synapse Analytics
  • ๐Ÿ“š Always Learning: Advanced Data Engineering, Big Data, Machine Learning
  • ๐ŸŒฑ Looking to Collaborate on: Open-source data projects and innovative cloud solutions

๐Ÿ› ๏ธ 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

๐Ÿ“Š Projects & Contributions

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

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

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


๐Ÿ’ก 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.

๐ŸŒŸ 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.

๐Ÿ“ซ Get in Touch


๐Ÿ” 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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