Data Integration
Most businesses run on a mix of applications, databases, file shares and partner systems that were never designed to work together. We build automated data pipelines that connect them, so information moves where it needs to go accurately, securely and without manual effort.
We use Apache NiFi, an open-source dataflow platform, as the foundation for visual, flow-based pipelines. Every step, from picking up the data to delivering it, can be seen, monitored and adjusted without rewriting code. When an off-the-shelf connector doesn't exist, we build custom ones.
What we do:
- Ingest data from REST and SOAP APIs, SFTP and file drops, databases, message queues (Kafka, JMS, AWS SQS), and cloud storage such as Amazon S3
- Transform formats and structures, including CSV, JSON, XML, HL7 and FHIR, with validation, enrichment, de-duplication and field mapping to match what the receiving system expects
- Route records by content, source or business rules, sending the right data to the right destination in real time or on a schedule
- Build custom connectors for proprietary or legacy systems that standard tools can't reach
- Monitor and recover with data provenance tracking, alerting, automatic retries and error queues, so nothing gets lost quietly
- Secure data in transit and at rest with TLS, encryption and role-based access, designed with compliance requirements like HIPAA in mind
The result: fewer manual imports and exports, fewer spreadsheet workarounds, and a clear, auditable record of where every piece of data came from and where it went.