Boutique data, analytics, ML and AI
Founder-led delivery from Lisbon
Pipelines, models, and production AI
English-first · EU-based studio
Start a project — we ship
Decision-grade data, not dashboards for their own sake
Boutique data, analytics, ML and AI
Founder-led delivery from Lisbon
Pipelines, models, and production AI
English-first · EU-based studio
Start a project — we ship
Decision-grade data, not dashboards for their own sake
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Data Engineering

Pipelines that stay up

From ingestion to a lakehouse your analysts and models can trust. We design, build, and hand over systems you can operate.

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End-to-end

How we work across the value chain

Click any stage to see how DatabyPassion delivers that part of the work.

01

Get the data in, once

Connect operational systems, files, and streams with contracts — not a pile of one-off scripts.

Connectors

APIs, CDC, files, events.

Contracts

Schema and SLA per source.

How it lands

Engagements in the studio

Placeholder workflows — replace with named work when you are ready.

Workflow: Lakehouse

Placeholder — multi-source platform

Stand up a maintainable lakehouse and retire spreadsheet pipelines.

Point-to-point jobs
No tests
Cloud bill with no owner
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Sources onboarded (placeholder)
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Failed jobs / week (placeholder)
Workflow: Migration

Placeholder — warehouse move

Move a critical domain without a big-bang weekend.

Dual running forever
Unclear cutover criteria
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Domains cut over (placeholder)
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Parity gaps (placeholder)
Proof points

Impact you can measure

Placeholder metrics until you confirm real numbers.

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Placeholder · pipeline SLAs
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Placeholder · incident rate
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Placeholder · cost / query
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Placeholder · time-to-source

See this practice on your stack

Start a project and we will map the first 90 days.

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