Sanchayan Roy

Data Engineer with 3 years of experience designing and optimizing production-grade ETL/ELT pipelines for large-scale data processing. Proficient in Databricks, Microsoft Fabric, PySpark, and SQL, delivering scalable, reliable, and high-performance data solutions.

Senior Data Engineer at Xerox (2025-07 – Present)

• Architect and maintain enterprise-scale ETL/ELT pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support high-volume data integration workloads.
• Led a strategic data modernization project focused on the unification of Databricks and Snowflake ecosystems, enabling streamlined data processing, improved interoperability, and simplified analytics workflows across platforms.
• Serve as the Subject Matter Expert (SME) for Azure Data Factory (ADF), providing technical guidance, troubleshooting complex pipeline issues, and driving best practices across data integration initiatives.
• Optimize end-to-end data workflows through performance tuning and automation, reducing redundancy and improving processing throughput.
• Develop Python-based automation workflows that reduced manual intervention and enhanced operational stability.

Engineer - Cloud Software & Services at LTIMindtree (2023-09 – 2025-07)

• Designed and delivered production-grade Azure data pipelines processing multi-terabyte datasets using Azure Data Factory and Databricks.
• Optimized PySpark transformations, reducing pipeline execution time by approximately 40% and improving resource utilization.
• Built scalable batch-processing solutions with Delta Lake and Spark, ensuring reliable data ingestion and transformation.
• Implemented automated data validation, quality checks, and governance controls to improve data consistency across enterprise systems.

B.Tech in Electronics and Communications Engineering – Narula Institute of Technology (2023)