What data platforms do you work with?

Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse. We also work with Kafka, Airflow, dbt, and modern data stack tools. We recommend based on your needs.

Can you help with real-time data pipelines?

Yes. We build streaming pipelines with Kafka, Kinesis, or Pub/Sub for real-time analytics and event-driven architectures alongside batch processing.

How do you handle data quality?

Data quality is built into our pipelines. We implement validation rules, monitoring, data contracts, and automated testing to catch issues before they impact downstream systems.

What's the pricing for data engineering services?

Embedded team model: Precision Pod (€5-6k/month), Pair Pod (€10-11k/month), Mini-Team (€15-16k/month). All include project management and architecture reviews.

How fast can you start?

7-10 business days from signed agreement to engineer embedded in your team.

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When Does Production Data Reliability Become a Revenue, Reporting, or Audit Risk?

Learn when production data reliability becomes a revenue, reporting, or audit risk. Clear thresholds and decision logic for European SMB leaders.

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When Does Production Data Reliability Become a Revenue, Reporting, or Audit Risk?

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