Mr. Ashok Gadi Parthi

Modern Data Integration with dbt: Building Trust and Speed Across Cloud and Enterprise Databases

Abstract:

Modern organizations manage data across diverse systems SQL Server, Oracle, BigQuery, and other cloud databases each with its own structure, complexity, and governance challenges. Traditional ETL tools often struggle to maintain consistency and speed across these environments. dbt (Data Build Tool) introduces a modern, code driven approach to data transformation that unites development, testing, and documentation within a single workflow.

This talk explores how dbt enables teams to build scalable, transparent, and version controlled data pipelines that integrate seamlessly with both on-premise and cloud systems. It demonstrates how dbt models can unify transformation logic, automate validation, and simplify change management across distributed databases.

By combining dbt with orchestration tools and data governance frameworks, enterprises can achieve reliable data delivery, stronger collaboration, and measurable trust in analytics. The session emphasizes practical design patterns and real world examples of using dbt to accelerate data integration while ensuring quality, traceability, and performance in complex hybrid ecosystems.

Profile:

Ashok Gadi Parthi is a Senior Data Architect and IEEE Senior Member with over 15 years of experience in data integration, cloud architecture, and AI-driven engineering. He has led modernization programs for Verizon, JPMorgan Chase, and Boeing, specializing in dbt-based modeling, cross-database integration, and real-time pipelines that bring speed, transparency, and governance to enterprise data systems.