Data Engineering

Data platforms
built to scale

From ingestion to insight — we design and build modern data platforms that turn raw data into business value. Production-grade, cloud-native, ready for AI.

Snowflake
dbt
Airflow
Azure
Google Cloud
AWS
01Results

Perigon played a key role in transforming our data infrastructure, integrating real-time streaming and analytics to enhance our insights.

— Wenjia Tang, Global Head of Data

Technologies deployed

SnowflakeKafkaDebeziumdbtAirflow
01Architecture Configurator

Design your data platform

Select your use case and cloud provider — we'll show you the architecture we'd build.

What do you need?

Which cloud?

Data Lakehouse on AWS

Unified storage and analytics combining the best of data lakes and warehouses

Proposed Architecture8 components
Data Collection
📥
SourcesAmazon RDS / S3

Relational databases, file drops, SaaS APIs

🔄
IngestionAWS Glue + Fivetran

Automated CDC and batch/streaming ingestion

Data Platform
💾
StorageS3 + Delta Lake

Object storage with ACID transactions on Parquet

ComputeDatabricks / Spark

Distributed compute for transforms at any scale

Processing & Orchestration
🔧
Transformdbt Core

Modular SQL transforms with lineage and testing

📋
OrchestrationAirflow on MWAA

Managed orchestration for pipeline scheduling

Serving & Governance
📊
ServingAthena + Redshift Serverless

Serverless SQL analytics on the lakehouse layer

🔒
GovernanceAWS Lake Formation

Fine-grained access control and data catalog

This is a starting architecture — we customize every detail to your specific needs.

Discuss This Architecture
02What We Build

Every layer, production-grade

We don't just build pipelines — we build platforms. Every component is designed for reliability, observability, and scale.

Data Ingestion

Batch, streaming, CDC — we connect to any source and land data reliably, whether it's 100 rows or 100 billion events per day.

Kafka, Fivetran, DebeziumReal-time & batch300+ source connectors

Storage & Warehousing

Cloud-native storage tiers designed for cost efficiency, performance, and ACID guarantees. Delta Lake, Iceberg, or Hudi — we pick what fits.

Snowflake, BigQuery, RedshiftDelta Lake / IcebergCost-optimized tiers

Transformation

Clean, modular dbt projects with full test coverage, documentation, and CI/CD. Your analysts can understand and own the logic.

dbt-first approachAutomated testingSemantic layer / metrics

Orchestration

Reliable, observable pipelines that run on schedule and recover gracefully from failures — no more overnight firefighting.

Airflow, Dagster, PrefectAlerting & retry logicFull observability

Quality & Governance

Automated data quality checks at every stage. Full lineage. Clear ownership. Your data earns trust because it's been earned.

Great Expectations, SodaColumn-level lineageRBAC & row-level security
04Get Started

Let's build your
data platform

Whether you're starting from scratch or modernizing legacy systems — we'll help you design, build, and ship a platform that scales with your ambition.