
ETL Pipeline and Natural Language Querying with Databricks, Azure, DBT and Airflow
This article details the full end-to-end project to create an ETL pipeline and query your data with Natural Language

Solution Architect working at the intersection of AI, data, and scalable software systems.
Showcasing impactful projects and technical achievements.
Professional journey and career timeline.
Thoughts on AI, software engineering, and building in public.
Key skills that define my professional identity.
Build and deploy scalable, reliable, and secure applications on Amazon Web Services.
Develop robust backend services, automated logging tools, and data processing scripts.
Build high-performance applications and manipulate complex data structures.
Craft interactive user interfaces and responsive single-page applications.
Containerize applications for consistent environments and simplified deployments.
Manage and organize relational databases efficiently for data-driven applications.