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Reliable Data.
Real-Time Insights.
Efficient at Scale.

Datagain builds data warehouses, datalakes, ETL pipelines, CDC integrations, and AI solutions that keep your data fresh, reliable, and cost-efficient as your business grows.

90%+ query cost reduction
faster pipeline runtimes
Sub-minute CDC data freshness
Datagain — Data Warehousing, ETL Pipelines & AI Solutions
Trusted Partner
Secure. Reliable. Proven.
Cloud Native
Built for the Cloud. Optimised for Scale.
Scalable & Future-Ready
Grow with Confidence. Ready for Tomorrow.
Focus on Impact
We handle the data. You drive the business.
// services

Four disciplines, done properly.

We focus on the work most data teams put off: clean foundations, dependable pipelines, real-time integrations, and AI that doesn't fall over in production.

Data Warehouse Design & Build

Your data, organised and ready for decision-making.

  • Modern data architecture
  • Scalable & secure, cloud-native solutions
  • Optimised for analytics & query performance
  • Access control, governance & data quality built in

ETL Pipelines

Extract. Transform. Load — reliably, at scale.

  • Robust & scalable pipelines
  • Data quality & validation
  • Built for performance & reliability
  • Automated & orchestrated end-to-end

CDC Integrations

Real-time change capture — from source to warehouse in sub-minute latency.

  • Real-time change data capture
  • Seamless source & target integrations
  • Low latency, high reliability
  • End-to-end monitoring

AI Solutions

Practical ML grounded in your data — from feature pipelines to production models.

  • Feature pipelines & model training
  • MLOps & monitoring
  • Forecasting & anomaly detection
  • Responsible AI practices
// approach

How we work.

Short feedback loops, working software every week, no unnecessary overhead.

01 / DISCOVER

Listen first

We map your sources, current pain, and what "good" looks like in a week — not a quarter.

02 / DESIGN

Architect for change

A pragmatic blueprint: schema, orchestration, tooling, costs, and a delivery roadmap.

03 / BUILD

Ship in slices

Working pipelines and models in production from week two, with tests and monitoring.

04 / OPERATE

Hand over cleanly

Documentation your team will actually read, plus an optional ongoing support retainer.

// outcomes

What that looks like in numbers.

−90%

Query costs cut

Redesigned a data layout and storage strategy that reduced warehouse query costs by over 90% while maintaining near-real-time performance.

4× faster

ETL runtime, ~30× cheaper

Rebuilt a critical ETL pipeline from 120 min and ~$100 per run to under 30 min at ~$3.50 — by pushing computation closer to the data.

Sub-minute

CDC data freshness

End-to-end Change Data Capture pipeline delivering fresh data to the warehouse with sub-minute latency and no always-on compute overhead.

// stack

Battle-tested tools, pragmatically chosen.

We've shipped production systems on every item below. We choose the right tool for your stack — not the one that fits a pre-sold platform.

Python
PySpark
SQL
dbt
Airflow
Spark
Terraform
Docker
MLflow
Kubeflow
Redshift
Snowflake
BigQuery
PostgreSQL
MySQL
S3
AWS Glue
AWS DMS
Athena
Lambda
GitHub Actions
REST APIs
Git
Jira
// about

Deep data engineering expertise. No middlemen.

Datagain is an independent data engineering studio based in the Netherlands. We design and ship data warehouses, ETL pipelines, CDC integrations, and AI solutions that run reliably in production — on whichever cloud or stack fits your business.

You work directly with the engineer writing the code — no account managers, no junior handoffs, no surprises on the invoice.

Let's talk
// faq

Common questions.

How do you price work?

Most engagements are fixed-scope sprints (2–6 weeks) with a clear deliverable, or a flexible monthly retainer for ongoing AWS data platform work. Pricing is transparent and agreed up front — no hourly surprises.

Which cloud platforms do you work with?

We have deep experience on AWS and work with GCP, Azure, and on-prem setups too. We choose the platform that fits your existing stack — not the other way around. If you're already on a specific cloud, you get an engineer who has shipped production systems there.

Can you reduce our data infrastructure costs?

Often, yes. Typical wins include better storage layouts, pushing computation closer to the data, right-sizing warehouses, and eliminating always-on compute where it's not needed. We've cut query costs by 90%+ and pipeline costs by 30× on real client systems.

Do you do CDC and real-time use cases?

Yes. We build Change Data Capture pipelines with sub-minute freshness, plus real-time anomaly detection and alerting on business metrics like Orders, GMV, and Revenue.

What about CI/CD and infrastructure-as-code?

Everything we ship is in Terraform with GitHub-based CI/CD, code review, and proper access scoping. Your team gets infrastructure they can read, change, and own.

Where are you based, and what about GDPR?

We're based in the Netherlands and build for EU data residency on AWS (eu-west-1, eu-central-1, etc.). We're GDPR-aware by default — access control and governance are part of the design, not bolted on later.

Do you offer ongoing support after launch?

Yes — many clients keep us on a light retainer for monitoring, improvements, and on-call coverage of critical pipelines. Optional but recommended for production systems.

// contact

Let's build something reliable.

Tell us what you're working on. We'll reply within one business day with honest feedback on whether we're the right fit.

📍 Eindhoven, Netherlands ·
✉️ info@datagain.nl
🏢 KVK: 99948389
🧾 VAT: NL005420041B34