Punit Soni

I am a Data Engineer with four years of experience building and scaling cloud-native data platforms on Azure, with additional exposure to AWS. I specialize in Snowflake-based data warehousing, ETL/ELT pipelines, and near-real-time processing using Python and Apache Spark.

I have engineered end-to-end pipelines using Azure Data Factory, Databricks (PySpark), and Snowflake to process tens of millions of records for large enterprise workloads, applying Medallion Delta Lake architectures and optimized Spark transformations.

My work includes CDC-based ingestion, advanced SQL query optimization, Python-based validation frameworks, and designing Lakehouse and ETL solutions on ADLS Gen2, Synapse, and Snowflake. I focus on pipeline reliability, data quality, and governance aligned with compliance requirements.

I collaborate with architects and stakeholders to define schema validation, automated exception handling, lineage, and audit logging. I hold a B.Tech. in Computer Science and certifications, including Microsoft Certified: Azure Data Engineer Associate.