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ProLaps

Data Engineering & Analytics

One version of the truth, refreshed on time.

Warehouses, pipelines, contracts and the semantic layer underneath your dashboards. Built so analysts stop arguing about whose number is right and start answering questions.

SnowflakeBigQuerydbtAirflowKafkaClickHouse

What this includes

Data platform & warehouse design
Streaming and batch pipelines
Data quality, contracts and lineage
Semantic layers and metrics stores
BI, reporting and self-serve analytics
Governance and data privacy controls

What you get

  • Modelled warehouse
  • Orchestrated pipelines
  • Quality test suite
  • Executive dashboard pack

Not sure this is the right service?

Describe the problem instead. We will tell you which capability fits — or that you do not need us at all.

Talk to an engineer

How we deliver it

01

Discover

We sit with your team, your users and your data before we write anything. You leave discovery with a scope, an architecture and a number — not a proposal full of maybes.

02

Design

Interaction design and system design happen together. You get a prototype you can click and an architecture your CTO can challenge, at the same time.

03

Build

Working software every fortnight, in your environment, behind feature flags. Nothing is 90% done for three months. You see velocity, burn and risk in the same dashboard we do.

04

Launch

Phased rollout, load tested, with rollback rehearsed before it is needed. We run the launch with you, on your side of the incident channel.

05

Evolve

Ninety days of hypercare, then whatever shape you need — a retained squad, a support SLA, or a clean handover to your own team with the documentation to make it stick.

Data Engineering & Analytics in practice