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Data Integration Services

Connect disparate systems into a unified data ecosystem — APIs, streaming, master data, and cross-platform sync.

SaaS Companies Operations-Heavy Businesses Growing Startups

Overview

Most companies don’t have a data problem — they have an integration problem. Customer data is in HubSpot, billing is in Stripe, product events are in a warehouse, and operational state is in three different Postgres databases. We connect those systems with durable, contract-tested integrations so the rest of the business can treat data as a single source of truth.

Reference Architecture

flowchart LR
SaaS["SaaS Apps<br/>(HubSpot, Stripe, ...)"] --> Bus["Integration Bus<br/>(Kafka / APIs)"]
OnPrem["On-Prem Systems"] --> Bus
Cloud["Cloud Apps"] --> Bus
Bus --> CDC["CDC + Streaming"]
Bus --> Batch["Batch Sync<br/>(Airflow)"]
CDC --> Warehouse[("Warehouse")]
Batch --> Warehouse
Warehouse --> MDM["Master Data<br/>+ Entity Resolution"]
MDM --> Reverse["Reverse-ETL<br/>back to SaaS"]
Reverse --> SaaS

Engagement Model

Integration work is rarely finished — it evolves with every new system the business adopts. We focus first on the highest-leverage integrations, document the patterns, and leave your team able to extend them without us.

What's Included

  • Integration architecture across SaaS, on-prem, and cloud systems
  • API design, contract testing, and versioning strategy
  • Event streaming and change-data-capture (CDC) pipelines
  • Master data management and entity resolution
  • Reverse-ETL operationalization back into business tools

Technologies

  • Apache Kafka
  • Apache Airflow
  • PostgreSQL
  • Snowflake
  • Python
  • AWS
  • Microsoft Azure

Related Services

  • ETL Consulting

    Design, build, and modernize production-grade ETL pipelines that move data reliably across systems.

  • Data Pipeline Modernization

    Replace fragile cron jobs and legacy ETL with declarative, observable pipelines on Airflow and dbt.

  • Analytics Engineering

    Turn raw warehouse data into trusted, well-modeled datasets that analysts, executives, and downstream apps can rely on.

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