Migrate & connect
Connected more than 100 diverse sources to Azure, including on-premises systems, cloud applications and NHS prescribing datasets for England, Scotland and Wales. Integration runtimes supported secure access across environments.
Fresenius Kabi
An end-to-end Azure data engineering and reporting programme, bringing migration, automated pipelines, a cloud data warehouse and practical team training into one delivery.
Bring a diverse data estate into a dependable cloud platform, automate the flow into analytics, and maintain data integrity as reporting moved to the new environment.
Our consultant worked as a Data Engineer Consultant, implementing and managing an Azure data lake and Synapse warehouse, engineering the integration layer and supporting internal skills development.
Connected more than 100 diverse sources to Azure, including on-premises systems, cloud applications and NHS prescribing datasets for England, Scotland and Wales. Integration runtimes supported secure access across environments.
Built ingestion and transformation pipelines with Azure Data Factory, Synapse Pipelines, Python and SQL. The data lake and warehouse provided a scalable foundation for automated analytics delivery.
Developed structured SQL schemas and connected the curated data to Power BI reporting. Source-to-target checks supported data accuracy and continuity throughout the migration.
Delivered targeted training for three data professionals across Azure Synapse, Databricks, Python, Power BI and Power Platform, building the internal capability to develop and maintain the solution.
Secure hybrid connectivity, SQL validation throughout the migration and standardised data schemas supported consistent, dependable reporting. Training and shared knowledge helped the internal team take responsibility for the platform.
How we build around regulatory requirementsAn automated Azure lake and warehouse solution linking more than 100 sources to business reporting, with migration validation and trained internal professionals to support ongoing delivery.
trust belongs in the foundations
Useful data needs clear rules. We design around your regulatory obligations, security requirements and the people responsible for your information.
Clear ownership, sensitivity classification and an agreed purpose for each dataset. Retention and deletion requirements shape the design.
Least-privilege access, Entra ID and role-based permissions, with secure integration and separation of development, test and production.
Source-to-target validation, shared definitions and traceable transformations. Quality checks make reporting discrepancies easier to find and resolve.
Documented decisions, lineage, change records and agreed review points. Practical evidence to support your governance and compliance responsibilities.
We work with your information governance, security and compliance owners to identify applicable requirements, including UK GDPR where personal data is involved, sector obligations and internal policies. These become agreed technical controls, acceptance criteria and review evidence.
The controls and approvals depend on the data, system and applicable obligations. A cloud platform alone does not establish regulatory compliance.
what could this look like for you?
Your initial review and proposal are free. We’ll discuss your goals, current setup and governance requirements before recommending an approach.
Case studies describe Makhosini Makhetho’s individual professional engagements. They illustrate the experience behind SINICONSULTING and do not imply endorsement by the organisations named.