ETL (Extract, Transform, Load) transforms data before loading it into the warehouse. ELT (Extract, Load, Transform) loads raw data first and then transforms it within the warehouse. We primarily advocate for and implement ELT using tools like dbt, as it offers greater flexibility, scalability, and leverages the power of modern data warehouses.

We can integrate a vast range of sources, including databases (SQL, NoSQL), SaaS applications (e.g., Salesforce, HubSpot, Shopify, Google Analytics), APIs, flat files, and more. Tools like Fivetran and Airbyte have extensive connector libraries, and we can build custom solutions for others.

Data quality is paramount. We implement data validation checks, use dbt for testing and documentation of transformations, and establish monitoring for data pipelines to ensure accuracy, consistency, and timeliness.

Absolutely. We can assess your current setup and integrate our solutions to enhance your existing infrastructure, migrate components, or build new capabilities alongside what you already have in place.

dbt (Data Build Tool) allows us to apply software engineering best practices to data transformation. It enables modular, version-controlled, and testable data models. This leads to more reliable, maintainable, and understandable data pipelines, making it easier to collaborate and iterate on your data logic.