APFlow / Integration engineering
Data ingestion pipelines
Turn scattered files and feeds into data your team can use. We build ingestion pipelines from documents, inboxes, APIs, and exports into a defined, queryable destination.
Discuss your project15 minutes. Start with one workflow.
Is this the right fit?
For operations and data teams repeating the same collection and cleanup work every week. The starting point is the destination schema and the quality checks a record must pass, not simply extracting as much text as possible.
Example workflow
Before
Files arrive by email and export. Someone downloads them, cleans columns, and imports a spreadsheet without knowing which records have already been loaded.
After
A scheduled pipeline collects changed inputs, validates the fields, records their source, and upserts valid records. Exceptions are separated for review, and the same batch can be rerun safely.
What you get
Source adapters and validation
Connectors for the agreed documents, APIs, inboxes, or exports, with field mapping and checks for missing or malformed data. Access permissions and source usage constraints are reviewed during scoping.
Repeatable processing
Scheduling, checkpoints, change detection, deduplication, and backfill procedures appropriate to the data. Failures remain inspectable so a restart does not silently lose work.
A usable destination
A documented schema, source references, operating instructions, and tests in your repository. Your downstream reports, applications, or retrieval system can depend on a defined data contract.
Before you book
Can you ingest PDFs and scanned documents?
Yes, subject to the document types and quality. We test representative samples during scoping, define required fields and validation rules, and identify records that need human review rather than promising perfect extraction.
Do we need a data warehouse?
Not necessarily. A relational database or an existing platform may be enough. We select the destination based on the queries, volume, access controls, and downstream applications you already have.
What do you need to estimate a pipeline?
Representative samples, source access details, expected volume and frequency, a target schema, and the acceptable handling of exceptions. The proposal separates the initial backfill from ongoing processing.