Data Transformation and ETL with SSIS and Data Factory
Data rarely arrives the way you need it: spreadsheets, exports from three systems, different formats for the same customer. We build pipelines that extract it, clean it, transform it and load it where it is needed, on a schedule, with errors caught and reported rather than silently passed on.
What is included
- SQL Server Integration Services (SSIS) packages: built, migrated and maintained
- Azure Data Factory and Synapse pipelines
- Python and PowerShell transformations for files, APIs and databases
- Data cleansing, de-duplication and validation rules
- Data warehouses and reporting databases
- Scheduling, logging and alerts when a load fails
- Moving SSIS packages to Azure when you are ready
What you get
- Data in one place, in one shape, every day
- No more copying and pasting between systems
- Failures noticed and reported, not discovered weeks later
One engineer handles it from start to finish, so a change requested today can be in production the next day, once change-control documentation and testing are complete.
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Talk to us about data transformation & etl
Tell us what you need. You will hear back from the person who will do the work.