Sujal Pimple

I am a Data Engineer with experience in building scalable data pipelines and data processing solutions using Databricks, PySpark, and Delta Lake. I specialize in designing ETL pipelines, transforming large datasets, and implementing efficient data workflows for analytics and reporting.

I have experience working with big data technologies such as Apache Spark, cloud data platforms, and modern data architectures like the Medallion Architecture. My work focuses on processing structured and semi-structured data such as JSON, CSV, and log data to create reliable and optimized data pipelines.

I am passionate about data engineering and continuously learning new technologies to improve data processing performance and scalability. I focus on writing clean, maintainable code and delivering reliable solutions that help businesses make better data-driven decisions.

Key Skills:

• Databricks
• PySpark
• Apache Spark
• Delta Lake
• ETL Pipeline Development
• Data Transformation
• Cloud Data Engineering