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Data Pipeline Engineering Data pipelines that deliver reliable numbers — not dashboards built on stale CSVs.

Scalable data infrastructure for real-time analytics and reporting. Delivered by our Enterprise Solutions team in 4 to 16 weeks. USD pricing.

Part of our Enterprise Solutions practice — see related capabilities below.

4–16WEEKS
SOC 2READY
APIFIRST
LegacyMODERNIZED

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Trusted Engineering Force

Who we've built for.

How we work

Focus
Data Pipeline Engineering
Stack
Node.js · Python · PostgreSQL · Redis · Kafka · AWS · API Gateway · OAuth 2.0 · SAML
Integrations
Zendesk · Salesforce · SAP · NetSuite · legacy ERP · identity providers · data warehouses
Typical timeline
4 to 16 weeks
Compliance
SOC 2 · ISO 27001 · GDPR · penetration test remediation · SSO and RBAC

We engineer data pipelines for analytics and reporting: ETL and ELT workflows, real-time streaming, data warehouse design, and BI tool connections so your team trusts the numbers on the dashboard.

What we deliver — Data Pipeline Engineering

ETL and ELT pipelines

Batch extraction, transformation, and loading from SaaS, databases, and APIs.

Real-time streaming

Kafka, Kinesis, and event-driven pipelines for live dashboards.

Data warehouse design

Snowflake, BigQuery, Redshift, and dbt models with dimensional modeling.

Data quality and monitoring

Validation rules, anomaly detection, and pipeline failure alerting.

BI tool connections

Looker, Metabase, Power BI, and Tableau fed by reliable pipeline outputs.

Reverse ETL

Push warehouse data back to CRM, marketing tools, and ops systems.

Typical engagement ranges

Integration project

From $7,000

  • Connect 2 to 4 enterprise systems.
  • API layer and documentation.
  • Typical 4 to 8 weeks.

System modernization

From $13,000

  • Legacy migration or replatform.
  • Parallel run and cutover plan.
  • Typical 8 to 14 weeks.

Enterprise platform

From $55,000

  • Multi-team architecture.
  • Security audit and compliance.
  • Dedicated pod retainer.

Exact scope and pricing locked on the scoping call. Maintenance retainers available.

FAQ

ELT (load raw, transform in warehouse) for modern cloud warehouses. ETL when transformation must happen before loading for compliance or cost.

Snowflake for multi-cloud flexibility. BigQuery for GCP-native teams. Redshift for AWS-heavy stacks.

Yes — we audit failure modes, add monitoring, and refactor brittle transformation logic.

Single-source pipeline from $7,000. Multi-source warehouse build from $14,000.

Need data pipeline engineering?