Ship reliable data pipelines 3× faster.

We embed senior data engineers into your team to build AI-ready foundations, lakehouse migrations, real-time streaming, and data-quality frameworks on Azure, AWS, and Databricks. Staff augmentation or full project delivery — you keep control.

// NDA-first onboarding · Senior-led teams · Start in ~7 days
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In-house engineers
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Projects delivered
~0d
Time to first engineer
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Senior-led delivery

// Technologies we build on

AWSMicrosoft AzureDatabricksSnowflakeApache AirflowdbtApache KafkaApache Flink
// What we build

The data foundation your AI, analytics, and product run on.

90% of AI projects fail without clean pipelines underneath. We build the lakehouse, the streams, and the quality layer that make analytics and AI actually work.

01

AI-ready data foundations

Pipelines, feature stores, and governed datasets your ML models and LLMs can trust.

Feature storesAI-ready
02

Lakehouse migration

Move off legacy warehouses onto Databricks, Snowflake, Iceberg, or Delta Lake securely.

DatabricksSnowflake
03

Real-time streaming

Low-latency streaming on Kafka and Flink for fraud detection, dynamic pricing, and live dashboards.

KafkaFlink
04

GenAI & RAG integration

Production LLM features and RAG systems wired into your product with evaluation built-in.

LLM / RAGAI agents
05

Data quality & observability

Validation, lineage, and alerting keep reporting trustworthy. Find out before your CEO does.

LineageObservability
06

DataOps & governance

CI/CD for data, automated orchestration, and FinOps to keep your cloud spend under control.

DataOpsFinOps
// How we work

From first call to production — in weeks, not quarters.

A senior-led path with no lock-in. If the fit isn't there after the trial, you walk away — no hard feelings, no invoice games.

01

Discovery call

A 30-minute call to understand your stack, the gap, and your goals — and to tell you honestly whether we're the right fit.

02

Sign NDA

NDA-first onboarding with GDPR-compliant delivery, before any access or data is ever shared.

03

Trial sprint

A senior engineer ships real, reviewable work in about 7 days — so you judge the fit on output, not promises.

04

Production

Scale the engagement, embed into your tools and standups, and deliver with docs, tests, and weekly reporting.

// Hiring models

Flexible contracts, no fixed price tags.

We work on flexible contracts so you can hit long- or short-term goals cost-effectively. No public rate card — we scope the right model with you on a call.

Scoped

Fixed-price

Best for well-planned projects with a defined scope. Stay within an agreed budget for a clear outcome.

  • Charged per milestone
  • Project-based payment
  • Defined scope & timeline
  • No setup or PM fees
Team

Dedicated team

A cross-functional squad with a tech lead for larger, long-running workloads — an extension of your team.

  • A full pod + tech lead
  • Predictable monthly engagement
  • Faster delivery throughput
  • Docs & knowledge transfer
No setup fees, no project-management fees. Final terms after a short scoping call.Let's talk →
// CASE STUDY
RETAIL · ANALYTICS

Real-time reporting and automated data pulls, live in 8 weeks.

Problem

A global retail brand was running blind. Their daily sales and inventory reports took 14 hours to run, meaning decisions were always based on yesterday's outdated data.

Approach

We embedded three senior engineers to migrate their brittle legacy pipelines to a modern Databricks lakehouse. We implemented Medallion architecture and incremental automated data pulls using dbt.

Result

Daily reports now complete in 12 minutes. Business analysts can pull fresh data on-demand, reducing stockouts by 18% and giving executives real-time visibility into global sales.

Built withDatabricksdbtDelta LakeMedallionData PullsBI Reporting
Reporting query latency · last 12 days
98%
Faster reporting
18%
Fewer stockouts
100%
Automated pulls
Contact us// Sample engagement - replace with a real case study
// FAQ

Answers buyers need before they book.

Both. Embed individual senior engineers into your team (staff augmentation), or hand us an outcome end-to-end as a scoped project. Most clients start with one embedded engineer and scale once delivery fit is proven.
Senior-led teams. Senior engineers own the architecture and reviews, with capable mid and junior engineers contributing under them where it makes sense.
CVs within 24-48 hours; the first engineer typically starts within about 7 days, including NDA and access setup.
Yes. NDA-first onboarding is standard on every engagement, with GDPR-compliant delivery.
Get in touch

Not sure which service fits? Let's discuss it.

Tell us your stack and the gap. We'll tell you honestly where we can help.