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← EngineeringData engineering · CDP · real-time pipelines

Data that moves. Decisions that don't wait.

We engineer the full data path, from event streams and fault-tolerant pipelines to unified customer profiles activated across every channel. Because data that only sits in a warehouse is potential; data that powers the next experience is the return.

Millions/sec

message throughput engineered on AWS SQS

Real-time

Kafka-streamed updates at real-time sports-platform scale

One profile

multi-source customer data unified and activated via CDP

The problemEveryone has data, almost nobody has it flowing

Everyone has data. Almost nobody has it flowing.

Most organizations don't have a data problem, they have a data plumbing problem. Sources multiply, pipelines silently drop messages, customer records fragment across systems, and third-party cookies are gone while first-party data sits unactivated.

  • Pipelines that fail silently.

    Messages dropped under load, no retry path, no dead-letter capture. Failures discovered by customers, not dashboards.

  • Customers split across systems.

    Web, email, commerce, and CRM each holding a fragment. No unified profile means every personalization engine runs on partial truth.

  • Data collected, never activated.

    First-party data accumulating in storage while marketing waits on it. Insight trapped one integration away from impact.

The fix is engineering the whole path: ingest, unify, activate.

Brief FoyerCONTEXT: DATA ENGINEERING
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What we doData engineering services

Six services. One full data path.

We treat data as one continuous path: ingest from every source, unify it under one governed identity, and activate it where the business runs.

Service

Event Streaming & Real-Time Pipelines

Kafka cluster architecture, partition optimization, high-throughput streaming for real-time products.

Stacks we ship
Kafka · MSK · Confluent · Flink
Service

Reliable Async Processing

Queue-based processing with dead letter queues for fault tolerance and durability, so spikes are absorbed and nothing is silently dropped.

Stacks we ship
AWS SQS · DLQs · EventBridge · Lambda
Service

Warehouses & Multi-Source Data Services

Streamlining complex, many-source data estates into governed warehouses and lakes with AWS-native services.

Stacks we ship
Snowflake · BigQuery · Redshift · Glue · Athena
Service

CDP Strategy & Implementation

Identity resolution and unified customer profiles: use-case prioritization, ingestion, audience implementation, platform integration, reporting. Lytics preferred partner.

Stacks we ship
Lytics · Segment · Salesforce Data Cloud · HubSpot
Service

First-Party Data & Personalization

Customer data strategy for the post-cookie era. Unified profiles powering personalized experiences and campaigns.

Stacks we ship
Lytics · Salesforce · HubSpot
Service

Data Strategy Consulting

Roadmaps connecting data infrastructure investment to experience and revenue outcomes.

Stacks we ship
Discovery · Roadmaps · Architecture
CredibilityTrusted teams · certified stack · data platforms we ship on

The data stack we ship with every engagement.

IRONMAN
Stanford
Kohler
Red Hat
Condé Nast
AMA
University of East London
IRONMAN
AWS
Apache Spark
Databricks
Salesforce
Snowflake
Confluent
Kafka
Apache Airflow
Flink
Amazon Redshift
Engagement records · data engineering

Engineered where data can't afford to lag.

Warehouse-first delivery on Snowflake, BigQuery, Redshift, dbt and Kafka since the modern data stack era

Delivered AI-native

The platform that watches your pipelines.

Every engagement ships with Bott, our engagement agent: full project context from day one, AI-reviewed PRs, and DORA-level delivery transparency in every steering review. On data engagements, Bott also monitors freshness and quality contracts, surfaces schema drift before it breaks downstream, and triages incidents back to the producing team.

Learn how we deliver →
NextBook a data architecture review

Stop collecting. Start activating.

Whether your pipelines are dropping messages, your customer data is fragmented across five systems, or your first-party data is sitting idle, let's engineer the path from event to experience.

Engineering is one of four capabilities

The same team carries it through.

We don't hand the work to a build partner and walk out. The people who frame the bet are the people accountable when it ships. Read how the other capabilities plug in.