Smart User
@smartuser
Data Engineer at DataRaise building ETL workflows with Azure Data Factory, Databricks, and PySpark.
IndiaWhat I'm looking for
At DataRaise, I work on data engineering and ETL workflows using SQL, Azure Data Factory, Databricks, PySpark, and Python. I develop pipelines for data ingestion and movement, and use Databricks and PySpark to process and transform datasets.
In my projects, I designed an end-to-end ETL workflow with Azure Data Factory and Databricks, including data-quality checks and repeatable processing. I’ve also developed SQL transformations and analytical models using fact and dimension tables for business metrics.
Experience
Work history, roles, and key accomplishments
Data Engineering Intern
DataRaise
Jan 2024 - Present (2 years 9 months)
Worked on data engineering and ETL workflows using SQL, Azure Data Factory, Databricks, PySpark, and Python. Developed Azure Data Factory pipelines for data ingestion and movement, and implemented data-quality checks and validation.
Education
Degrees, certifications, and relevant coursework
Dr. D. Y. Patil Vidyapeeth, Pune
Master of Business Administration, International Business Management
Grade: 80%
Pursued an MBA in International Business Management, achieving 80%.
Narayana Engineering College
Bachelor of Technology, Engineering
Grade: 78%
Completed a Bachelor of Technology with 78%.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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