ENGINEERING SERVICES

Data & Cloud Engineering

Reliable pipelines. Connected systems. Data your team can actually use.

Discuss your data pipeline

THE PROBLEM

Make source data dependable.

When data lives across disconnected systems, every report and operational decision starts with reconciliation. We help build the pipelines and applications that bring it together.

Use cases to scope together

  • Connect order, inventory and finance data for operational reporting
  • Repair pipelines with missed updates, duplicate records or unreliable retries
  • Prepare governed datasets for applications and AI retrieval

WHAT WE DELIVER

  • Source-system integration and ingestion pipelines
  • ETL/ELT transformations and orchestration
  • Data quality checks, monitoring, and recovery paths
  • Application-ready data models and documented handoff

SCOPED AROUND YOUR SYSTEM

Start with a defined outcome.

Bring a source inventory, a sample dataset and the freshness requirement. A first scope can take one source through ingestion, validation and a usable downstream model.

Define done before delivery

Agree on freshness, reconciliation checks, failure alerts and replay behavior. Handoff includes pipeline ownership, runbooks and a documented recovery path.

Tools that fit the work

AWSPalantirPythonSQLPostgreSQL

Technology choices follow the requirements and your existing environment.

Need capacity inside your team instead? ↗

RELATED WORK

See the software we've built.

Projects that demonstrate related capabilities. Explore the features, software, and workflows behind each one.

PLANNING GUIDES

Scope the workflow before the build.

DELIVERY

Clear scope. Working increments.

01

Discover

Start with the workflow, the people using it, and the constraints around it.

02

Scope

Agree on deliverables, architecture, responsibilities, and how we'll measure completion.

03

Ship

Review working increments together. Keep decisions and code in your team's tools.

04

Operate

Document the system, support the handoff, and agree on the next operational steps.

QUESTIONS

Before we get started.

Can you improve an existing pipeline?

Yes. Start with the current failure modes, data sources, and freshness requirements. We scope the repair or extension around your existing environment.

Do we need a new platform?

Not necessarily. We first assess what your current stack can support and propose a platform change only when the requirements justify it.

LET'S MAKE IT WORK

Tell us what you're
trying to ship.

Bring the problem, the backlog, or the role you need.