Sai Gad

I’m a Data Engineer with 4+ years of experience building and supporting enterprise data warehousing solutions. I focus on scalable data pipelines, modern data architectures, and high data quality so analytics and reporting stay trustworthy.

For 3.5+ years, I’ve worked deeply with Snowflake—handling data modelling, pipeline development, and improving system efficiency through schema design, storage management, and warehouse configuration. I’ve implemented Snowflake features like Time Travel, Zero-Copy Cloning, Streams, Tasks, multi-cluster compute, and automated ingestion using Snowpipe for continuous and near real-time processing.

I build robust transformation layers using dbt with a Bronze/Silver/Gold approach, including testing, documentation, and incremental loads. I also optimize performance and cost using clustering, partition pruning, RBAC, and warehouse scaling, while tuning query workloads and ensuring efficient data access strategies.

I’ve integrated AI capabilities using Snowflake Cortex AI for text analysis, classification, summarisation, data enrichment, and even basic anomaly detection and forecasting with Cortex ML functions. I collaborate with stakeholders to translate requirements into solutions, and I’ve supported ETL, validation, post-migration monitoring, and data quality monitoring frameworks across production environments.