Cloud Data Engineer

I am a Cloud Data Engineer specializing in modernizing legacy architectures, building high-performance distributed data pipelines, and migrating enterprise-scale data platforms to the cloud. Currently, at Deloitte USI, I focus on transforming traditional on-premise workflows (IBM DataStage & Oracle PL/SQL) into highly scalable, cloud-native pipelines utilizing AWS (Glue, S3, Lambda), PySpark, and Snowflake.

I bridge the gap between traditional data warehousing and modern, cloud-first distributed systems. With a strong academic foundation from NIT Durgapur and professional certifications across Google Cloud (Professional Cloud Architect), Databricks (ML Engineer), and OCI, I design data architectures that are robust, secure, and built to scale.

Cloud Data Engineer | Deloitte USI (April 2024 – Present)

Migrated Legacy Systems: Successfully modernized an insurance reporting platform by migrating IBM DataStage ETL workflows and complex Oracle PL/SQL logic to AWS-native architectures.Engineered Scalable Pipelines: Developed high-throughput ETL pipelines with PySpark and Spark SQL to ingest and process massive datasets into Snowflake.Optimized Performance: Re-engineered business logic into reusable, modular PySpark frameworks to optimize computing resources and pipeline execution times.