luminovainfotech

Cloud & Data

DataOps

Automate data delivery — for quality, speed, and trust

DataOps brings software-engineering discipline to data: CI/CD, observability, testing, and incident response. We help teams stop firefighting pipelines and start shipping data products with confidence.

What we deliver

DataOps capabilities, end to end

CI/CD for data pipelines

Version-controlled pipelines with automated testing and progressive deployment.

  • Git-based workflows for dbt, Airflow, and Dagster projects
  • Automated test suites: schema, data quality, freshness
  • Staging environments and blue/green deployment for data
  • Dependency-aware change management

Data observability

Know when data is wrong before consumers do — and know why.

  • Freshness, volume, schema, and distribution monitoring
  • Lineage-aware impact analysis
  • Alerting and on-call workflows for data incidents
  • SLOs and SLAs for critical datasets

Data testing programs

Layered tests — unit, integration, contract — applied to data products like to software.

  • Great Expectations and dbt-test suites
  • Contract tests between producers and consumers
  • Anomaly detection on key metrics
  • Test-coverage reporting and CI gating

Incident management for data

Runbooks, post-mortems, and a culture that treats bad data like a production outage.

  • Severity definitions and on-call rotations
  • Runbooks for common failure modes
  • Post-incident reviews and corrective actions
  • Stakeholder communications playbooks

How we work with you

Engagement shapes

Three typical ways we engage on dataops — adapted to your scope, timeline, and team.

3–4 weeks

DataOps Assessment

Maturity assessment and prioritized improvement plan.

8–14 weeks

DataOps Build

Stand up CI/CD, observability, testing, and incident process.

Ongoing

Managed DataOps

Operate the program with your team — including on-call for data incidents.

Tools & technologies

Built on what your teams already know

We work with industry-standard tooling and open standards — no proprietary lock-in.

Pipelines
AirflowDagsterPrefectdbtGitHub Actions
Observability
Monte CarloBigeyeSodaElementaryDatadog Data Streams
Testing
Great Expectationsdbt testsSoda Checks

Let's talk

Tell us what you're building.

Share the shape of your initiative and we'll respond within one business day with a tailored point of view — and the names of the senior people who would lead the work.

Opens in your email app — review and click Send.