Source assessment
Define and implement source assessment within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Data Engineering & ETL brings reliable ingestion, transformation, validation and movement of business data into a coherent technical and operational approach. Juan Infotech starts with the real workflow and shapes the experience, information, controls and supporting technology around the result the organisation needs.
This service is designed for organisations connecting multiple data sources. Scope is prioritised around the most important journeys, existing systems, information boundaries and responsibilities required to achieve repeatable and observable data movement.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Define and implement source assessment within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement pipeline development within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement transformation and validation within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement scheduling and monitoring within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Each phase produces something reviewable before the next commitment is made.
Identify source systems, decision needs, data ownership and current quality constraints.
Define the movement, storage, transformation and presentation of trusted information.
Build the agreed data capabilities with repeatable validation and operational visibility.
Monitor quality, usage and performance, then prioritise the next valuable improvement.
Yes. Discovery reviews the current systems and identifies what should be retained, connected, improved or replaced before implementation is proposed.
Yes. Work can be organised into complete, reviewable outcomes so value, risk and learning remain visible throughout delivery.
Technology choices are based on the workflow, existing environment, security and support needs rather than a predetermined stack.