In order to make your data more useful for decision-making, we design and implement data pipelines that make use of contemporary tools to automate workflows and testing, standardize and accelerate data transformation, remove data engineering bottlenecks, and involve more people in various data roles in the pipeline development process.
We’ve developed reusable frameworks for ELT and ETL paradigms that let you swiftly ingest data into your warehouse with standardized naming conventions, auditable procedures, and the ability to apply custom business rules for the ingestion pipeline.
For your data warehouse to have a trustworthy layer that is suitable for business, your data needs to be cleaned, joined with other disparate data, and enriched with derived business logic. Using tried-and-true principles, technologies, and processes, we assist you in converting raw data into usable information so that you may produce solid analytics solutions for end users.