CAPABILITIES / WHITE STORM
Data Pipelines, ETL & AWS Glue
Make the data behind your business easier to use. Connect sources, transform records, and prepare dependable datasets for reporting and AI applications.
Discuss your project
IDEAS → SYSTEMS → POSSIBILITIESA PRACTICAL STARTING POINT
Built around the work
your team needs to do.
Analytics and AI depend on data that arrives in a useful and understandable form. A pipeline engagement focuses on the movement between sources and consumers, including the transformations, checks, and operational decisions that make the resulting datasets practical for your team.
WHAT WE CAN HELP YOU BUILD
What your team receives.
Connect business data across APIs, databases, and files.
Build transformations and quality checks around your needs.
Modernize ETL workflows with AWS Glue where appropriate.
FROM QUESTION TO WORKING SYSTEM
A focused path forward.
- 01
Understand the sources
Inventory APIs, databases, files, ownership, refresh requirements, and the data consumers that depend on each source.
- 02
Build the transformations
Define consistent field mappings, business rules, and validation checks, choosing AWS Glue or other tools for the environment.
- 03
Plan the operations
Make refresh status and failures visible, agree on exception handling, and document how maintainers can inspect the pipeline.
SCOPE BEFORE SCALE
What a project
can include.
A scoped project can produce source mappings, transformation jobs, data quality checks, and operational documentation. The deployment architecture, refresh cadence, retention, and access model depend on your existing platform, business needs, and source constraints.
Define the data your team needs, the transformations that prepare it, and the checks that keep each delivery useful.
LET'S GIVE YOUR IDEA A CLEAR DIRECTION
Start with one useful question.
Tell White Storm about your business goal, the tools you use, and the work you want to improve.