Rajat Gerwal

Azure Data Engineer with hands-on experience in ETL/ELT pipeline development and cloud-based data integration on Microsoft Azure. Skilled in Azure Data Factory, Azure Databricks, PySpark, Azure Synapse Analytics, Delta Lake, and Medallion Architecture.

Databricks

Certified with strong expertise in batch processing, data pipeline design, and delivering scalable, cloud-native solutions.

Associate Software Engineer - Accenture - Nagpur, India

(2024-11)

• Designed and implemented ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks to migrate data from multiple cloud sources into a centralized Data Lake, enabling scalable batch processing.
• Developed PySpark transformation scripts following Medallion Architecture (Bronze/Silver/Gold) in Azure Databricks to process large-scale structured and semi-structured datasets, improving pipeline reliability.
• Built data workflows in Azure Synapse Analytics for enterprise reporting and analytics, ensuring data quality and reliability across ETL/ELT processes through robust data pipeline design.
• Collaborated with cross-functional teams in client-facing discussions to gather requirements and deliver cloud-native, scalable data solutions aligned with business goals.
• Performed unit testing and data-level testing on pipeline outputs to validate data accuracy, completeness, and schema validation across all ETL workflow stages.

Bachelor of Technology - Computer Technology - Rashtrasant Tukadoji Maharaj Nagpur University (2020-06 - 2024-06)