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imaashishlk/README.md

Hi, I'm Aashish πŸ‘‹

Aspiring Data Engineer | MSc in Computer Science (Data Science) | Azure Certified

LinkedIn


πŸš€ About Me

I'm building my career in Data Engineering, with hands-on experience in SQL, Python, Azure, Databricks, dbt, and Fabric.
Currently upskilling myself in Terraform, system integrations, and modern data platforms including Microsoft Fabric to design efficient pipelines and robust data architectures.


πŸ“‚ Recent Projects

  • 🏭 sql-data-warehouse-project
    Building a modern data warehouse with SQL Server, ETL processes, data modeling and analysis.

  • πŸ“Š dbt_fabric_project
    End-to-end data pipeline using Microsoft Fabric Warehouse, dbt, and Power BI (Star Schema).


πŸ›  Tech Stack

Languages & Tools:
Python SQL Azure Fabric dbt Databricks Terraform Power BI Git


πŸ“ˆ Currently Learning

  • Advanced SQL (subqueries, window functions)
  • Authentication & Identity Management (SSO, OAuth, Entra ID)
  • Infrastructure as Code with Terraform
  • Analytics and Engineering in Microsoft Fabric

🌱 My Goals

βœ” Strengthen cloud data engineering skills (Azure, Fabric, Databricks)
βœ” Master modern data stack (dbt, SQL, orchestration, IaC)
βœ” Contribute to open-source projects in data engineering


πŸ’¬ Always open to collaboration and discussions about data engineering, cloud, and distributed systems.

Pinned Loading

  1. sql-data-warehouse-project sql-data-warehouse-project Public

    Building a modern data warehouse with SQL Server, ETL processes, data modeling and analysis.

    TSQL

  2. dbt_fabric_project dbt_fabric_project Public

    A demonstration of data transformation pipelines using dbt Core on Microsoft Fabric, with SQL Server seeds and models designed for downstream analytics in Power BI.

  3. thesis_unified_tc thesis_unified_tc Public

    Jupyter Notebook 1

  4. norwegian-web-language-model norwegian-web-language-model Public

    Python

  5. Smart-Answer-Type-Prediction Smart-Answer-Type-Prediction Public

    Semantic Answer Type Prediction

    Python 1

  6. factcheck factcheck Public

    Jupyter Notebook