Baby reddy

I’m a Data Engineer with 4 years of experience specializing in Snowflake and AWS. I focus on building and optimizing scalable ETL pipelines and warehouse solutions that stay reliable under real-world load.

In my current role at Infosys (Sep 2022–Present), I’ve designed and developed ETL pipelines using Snowflake and AWS S3. I’ve also migrated data from Oracle on-premises systems and AWS S3 to Snowflake, and implemented Snowpipe, Streams, and Tasks to enable real-time and incremental processing.

I’m particularly proud of my performance tuning impact—I’ve optimized SQL queries and improved data pipeline performance, including improving data load efficiency by up to 25%. I bring hands-on depth in Snowflake architecture (databases, schemas, and table structures), plus features like Multi-Cluster Warehouses, internal/external stages, and automation for event-based ingestion.

I enjoy working end-to-end: from ingestion and transformation to reliability and governance. I’ve implemented Zero-Copy Cloning for Dev and QA environments, configured resource monitors and staging/production storage, and integrated heterogeneous sources such as Oracle and flat files. Previously, as an Associate Engineer, I worked on advanced SQL development and Snowflake schemas, using time travel and retention settings to support auditing and recovery.