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Data Engineering Services
Pipelines and warehouses you can trust: tested, documented, observable.
quality tests in CI by default
Data pipeline diagram with source nodes, transform stages and sinks connected by flowing streamsProblems solved
What this removes.
scattered source data
every report starts with an export hunt
broken nightly jobs
meetings open with which number is right
no data contracts
upstream changes break downstream silently
warehouse sprawl
three tools, three answers, zero trust
no lineage
audits become archaeology projects
What's included
What you get.
- data architecture + domain map
- ELT pipelines (Airflow/Dagster)
- warehouse modeling (dbt)
- streaming backbone (Kafka)
- data quality tests (Great Expectations)
- lineage + docs (dbt docs)
- governance + access policy
- monitoring + alerting
- cost optimization report
- handover + enablement
Scope
Scope, clearly drawn.
| Core scope | Optional add-ons |
|---|---|
| Coresource audit + inventory | Add-onstreaming backbone (Kafka)+$8kCDC via Debezium |
| Coremodel design (staging/marts) | Add-ondata catalog (DataHub)+$6klineage + discovery |
| Corepipeline build + orchestration | Add-onPII masking + governance pack+$5k |
| Corequality gates in CI | Add-onlakehouse migration (Iceberg)+$9k |
| Corelineage + docs publish | Tailored to scope |
| Corehandover + training | Tailored to scope |
Core scope
- Coresource audit + inventory
- Coremodel design (staging/marts)
- Corepipeline build + orchestration
- Corequality gates in CI
- Corelineage + docs publish
- Corehandover + training
Optional add-ons
- Add-onstreaming backbone (Kafka)+$8kCDC via Debezium
- Add-ondata catalog (DataHub)+$6klineage + discovery
- Add-onPII masking + governance pack+$5k
- Add-onlakehouse migration (Iceberg)+$9k
Our approach
How we run it.
Source audit
inventory + freshness SLAs
Model design
contracts before code
Pipeline build
idempotent + tested
Quality gates
alerts on drift + volume
Handover
docs + enablement sessions
Pricing signal
What it typically costs.
Typical range
$30k-$150k
Midpoint $90k · final quote after a fixed-scope discovery.
data quality tests in CI by default
Technologies
Tools we reach for.
Case evidence
Proof.
-> 0
nightly job failures
15min
data freshness
5/5Verified client
“Reports finally agree with finance.”
Reviews
What clients say.
Slide 1 of 1
- 5/5Verified client
“Reports finally agree with finance.”
CFOChief Financial Officer, retail - 5/5Verified client
“Nightly failures to zero in 6 weeks.”
Data leadData Lead, logistics - 5/5Verified client
“Lineage docs ended our audit archaeology.”
Compliance leadCompliance Lead, fintech
FAQ
Questions, answered.
Cloud-agnostic?
Yes - open stacks preferred; we run on AWS, GCP, Azure or on-prem.
Do you document models?
Yes - dbt docs + lineage published with every mart.
Streaming vs batch?
Use case decides; batch by default, Kafka where latency earns it.
Which warehouse?
ClickHouse for OLAP speed, Postgres for serving; Iceberg for lakehouse.
How is quality enforced?
Great Expectations suites in CI; alerts on drift and volume anomalies.
Do you handle PII?
Yes - masking, access policy and governance pack add-on.
Data Engineering Services without the guesswork.
Pipelines and warehouses you can trust: tested, documented, observable.