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Data Engineering

We build the data backbone your analytics and AI depend on, ingestion pipelines, warehouses and lakehouses, and streaming systems engineered for reliability and scale. With testing, lineage, and governance built in, your teams get data they can actually trust, delivered where and when they need it.

Capabilities

What's included

Batch & streaming pipeline development
Data warehouse & lakehouse architecture
ETL / ELT modeling & transformation
Data quality, testing & observability
Governance, lineage & catalog setup
Real-time & event-driven data systems

Typical deliverables

  • Data architecture & platform design
  • Production ingestion & transformation pipelines
  • Warehouse / lakehouse implementation
  • Data quality & observability framework
Our process

How we deliver data engineering

01

Discover

We dig into your business goals, constraints, and existing systems to define what actually needs to be built, and what doesn't.

02

Design

Architecture, UX, and technical planning happen together, so the system we design is one your team can operate and extend.

03

Build

Short, transparent iterations with working software in your hands every week, not a black box until launch day.

04

Scale

We stay on for hardening, performance, and growth, or hand off cleanly with full documentation and a trained team.

Tech stack

What we build it with

The tools we reach for on Data Engineering work, picked for the problem in front of us and for the team who inherits the code.

01

Ingestion

Getting data out of systems that resist it

  • Apache Kafka
  • Airbyte
  • Apache Flink
  • Apache Pulsar
02

Processing

Transformations that are tested like code

  • Python
  • Apache Spark
  • Polars
  • dbt
03

Storage

The warehouse and the lake, and when to use each

  • Snowflake
  • Databricks
  • BigQuery
  • ClickHouse
  • DuckDB
04

Orchestration

Scheduled, observed, and alerting on freshness

  • Apache Airflow
  • Prefect
  • Trino
  • Datadog
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Let's build something that lasts

Tell us about your project and we'll get back to you within one business day with next steps.