Pipeline Design
"Batch and streaming pipelines you can trust"
Batch and streaming pipelines built to ingest, transform, and deliver data reliably across any source or sink — designed with idempotency, replay, and observability from day one.
What we deliver
Source connectors
Databases, APIs, files, SaaS — robust, tested, monitored.
Streaming ingestion
Kafka, Kinesis, Pub/Sub patterns for sub-minute latency.
Transformation
dbt, Spark, Flink — modelled in version control, peer-reviewed.
Idempotency & replay
Exactly-once semantics; safe to replay without duplicates.
Lineage & cataloguing
Atlas, DataHub, OpenLineage — discoverable, governed data.
Efficient by design
Partition pruning, compaction, and warehouse-credit efficiency.
Working lifecycle
Discover sources
Map systems, APIs, and event streams with owners and SLA expectations.
Design contracts
Schemas, freshness SLOs, and quality gates agreed before build.
Build & test
Pipelines built with unit, contract, and end-to-end tests in CI.
Operate & evolve
Observability dashboards, runbooks, and structured improvement.
Related sub-services
Talk to us about Pipeline Design
Tell us about your data estate and the outcome that matters. We will reply with a scoped plan.