Data Engineering &
Pipeline Development

The first consultation is free. Every pipeline is quoted at a fixed price before work begins, and the price depends on the number of sources, the transformation logic and the latency you need. A data platform modernization is quoted one slice at a time.

Most pipelines take 2 to 6 weeks from kickoff to go-live. Simple builds on existing infrastructure finish in 2 to 3 weeks; multi-source platforms with dbt, orchestration and monitoring take 4 to 6 weeks. The first slice of a modernization ships in 6 to 10 weeks, and each later slice delivers value on its own.

A pipeline is production grade when an engineer who did not build it can be alerted at 3 AM, open the runbook and fix the problem. In practice that means loads that can be re-run safely, data tests on every model, schema contracts at the boundaries, alerts routed to an owner, retries with backoff and lineage that shows what a failure affects.

We are tool-agnostic and build on what you run. Typical choices: Airflow, Dagster or Prefect for orchestration; dbt and Spark for transformation; Airbyte or custom Python for ingestion; BigQuery, Snowflake, Redshift, Databricks or Athena for storage; Kafka or Pub/Sub for streaming; Terraform for infrastructure. We ship on AWS, Google Cloud and Azure.

No. We can set up the whole platform, cloud accounts, warehouse, orchestration and tooling, or work inside the infrastructure you already have. Where you have an established stack, we extend it rather than replace it.

Slice by slice. We map one workflow end to end, build the new pipeline beside the legacy job, run both and reconcile row counts, totals and keys every day. Reports switch over only after reconciliation has passed for an agreed window, and the legacy job is retired after that. Nothing finance or customers depend on changes on a calendar date.

Yes. Managed tools are often the right choice for common sources, and we keep them where they work. We add custom connectors for the sources they cannot handle, fix the models and tests around them, and only recommend a change when the decision log shows a clear gain in cost or reliability.

When a decision has to happen within seconds: fraud checks, live operations, alerts on a moving market. Most reporting is well served by hourly or daily batches, and near real time, every few minutes, covers many operational feeds at a fraction of the running cost of a stream.

We work inside your cloud accounts with least-privilege access, so production data stays in your environment. Secrets live in your secrets manager, every change goes through code review in your repository, and we sign NDAs and data processing agreements before access is granted.

Every project includes 30 days of support after launch for fixes, tuning and your team’s questions. After that you can run the platform yourselves from the documentation, call on us for one-off work quoted per task, or keep a monthly retainer.

You do. Once the invoice is paid in full, everything written for you, the pipelines included, is yours; the existing tools we bring in are licensed to you permanently and royalty free, and cloud, API and model accounts are opened in your name. Your data and documents stay confidential during the project and for three years after it, and a data processing agreement is signed before any personal data is shared.