ETL & Engineering
Reliable data flow between your systems and business use
We design and build automated data pipelines that make data from diverse sources ready for reporting, analytics and AI solutions.
01 /
Connecting data sources
We organise data extraction from enterprise applications, databases and external sources, and align the refresh frequency with the needs of the business.
02 /
Cleansing and standardising data
We bring differing formats and business terms into a common structure. Quality checks identify gaps and inconsistencies before they reach reports or models.
03 /
Traceable, automated data loading
We set up data processing as a repeatable, monitored process. Planned alerting and re-runs support stable operation and can reduce manual data handling.
Our approach
We design data pipelines based on the intended use, the characteristics of the sources and the data quality requirements. Extraction, transformation and loading are handled together with monitoring and error handling. We deliver the solution so that its operation and the path of the data remain traceable later on.
How we work together
01Mapping sources and data use
We get to know the source systems, data structures and refresh requirements. We check data accessibility and the main quality issues.
02Designing the data model and processing
We define the transformation rules, the target structure and the loading schedule. We design the checks and error handling.
03Building and testing the pipelines
We build the automated extraction, transformation and loading processes, and verify the results against the source data and business expectations.
04Go-live and pipeline monitoring
We launch data processing and hand over the monitoring tasks. Based on operating experience, we refine the processing and the quality rules.
Contact us
- Phone:
- +36 1 611 0462
- Email:
- info@blackbelt.hu