Data Engineering & Pipelines

ETL/ELT pipelines, warehouses and data models that keep analytics and machine learning fed with trustworthy data.

A single source of truth

We connect your product databases, SaaS tools, spreadsheets and external data into a clean, modelled warehouse. Every table has an owner, a definition and tests — so the numbers in your dashboards match the numbers in your models.

What we set up

Ingestion from databases, APIs, files and event streams
Warehouses on BigQuery, Snowflake, Redshift or PostgreSQL
Transformations with dbt, including tests and documentation
Scheduling, retries and alerting with Airflow or managed orchestrators
Cost monitoring so your cloud bill stays predictable

Built to hand over

We write clear documentation and runbooks, and we train your team — you are never locked in.

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Web Data Collection

Reliable pipelines that turn websites, APIs and public sources into structured, analysis-ready data — on the schedule you choose.

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Data Labeling & Annotation

Human-in-the-loop annotation for text, images and documents, with multi-stage QA and measurable agreement scores.

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Custom Machine Learning Models

Forecasting, classification, recommendation and anomaly detection models trained on your data and measured against clear baselines.

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Let’s talk data

Have a dataset or model in mind?

Tell us what you are trying to predict, automate or understand. We will reply within one business day with an approach, a timeline and a quote.

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