Operational storage
Applications that need reliable records, file storage, and selective caching.
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Pipelines & analytics
ETL and ELT pipelines, schema mapping, validation, orchestration, and reporting models. Tools such as dbt, Airflow, Snowflake, BigQuery, or Databricks are options for the agreed data architecture.
Discuss your projectTrace a reported number back to its source
- 01
Source
Operational records and external files.
- 02
Staging
Preserved inputs with ingestion timestamps.
- 03
Transform
Mapped fields and validated business definitions.
- 04
Report
A published measure with an owner.
The pipeline should explain why a number changed. Preserve source lineage, identify rejected records, and agree how late-arriving updates affect reports before automating publication.
Failures need an owner, not just a log
| Symptom | Likely decision |
|---|---|
| Missing customer identifier | Reject or hold the record until a mapping is resolved. |
| Duplicate source row | Apply the agreed deduplication key and retain evidence. |
| Late correction | Recompute affected periods or publish a documented adjustment. |
| Schema change | Stop incompatible processing and alert the source owner. |
Your project, scoped around the outcome
Build with Pipelines & analytics
Validated transformations, orchestration, and documented reporting definitions.
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Retrieval & search
Employee search and AI retrieval over approved business documents.
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