
About Me
Built end to end data pipelines in Python and SQL, cleaning, transforming, and modeling structured and unstructured data into analytics ready tables for real projects. Worked on projects using Databricks lakehouse, Microsoft Fabric lakehouse, Azure Data Factory, Apache Airflow, and SQL Server to design ETL/ELT workflows, incremental loads, and medallion style architectures. Comfortable integrating multiple data sources, implementing data quality checks, and exposing curated datasets for reporting, dashboards, and downstream ML use cases.
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