
Shantanu Kulkarni
@shantanukulkarni1
I build cloud ETL pipelines using PySpark, SQL, AWS, Azure, Redshift, and Snowflake.
What I'm looking for
I've built practical cloud ETL pipelines that move raw data from AWS S3 into Amazon Redshift and from Azure Blob Storage into Snowflake.
In my AWS pipeline project, I used Glue Crawlers, the Glue Data Catalog, PySpark Glue jobs, and AWS Step Functions to clean data, perform joins, and orchestrate structured workflow execution.
I'm focused on scalable, reliable data pipelines and bring hands-on experience with Python, SQL, PySpark, Apache Spark, AWS, Azure Databricks, and cloud data warehousing.
Experience
Work history, roles, and key accomplishments
Azure Data Engineering Pipeline
Azure Blob Storage to Snowflake
Developed a data pipeline using Azure Databricks and PySpark to process data from Blob Storage into Snowflake for analytics.
Education
Degrees, certifications, and relevant coursework
Dr. Babasaheb Ambedkar Technological University
Bachelor of Engineering, Computer Science Engineering
2017 - 2021
Bachelor of Computer Science Engineering from Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, from August 2017 to May 2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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