Pipelines that fail loudly,
not silently.
Ingestion, transformation, warehousing and the observability around them. Built so a broken load wakes someone up instead of quietly serving stale numbers.
From source system to decision.
Cloud-native data platforms on AWS, with schema evolution and recovery designed in rather than bolted on.
Pipelines & ETL
AWS Glue, Lambda and Step Functions orchestration with automated schema evolution and self-healing recovery.
Warehousing
Amazon Redshift modelling, performance tuning and cost control that survives growth.
Integration
Airbyte and API ingestion across external sources, landed reliably and idempotently.
Orchestration
Airflow and AWS MWAA with dependency-aware scheduling and real backfill support.
Data Observability
Freshness, volume and schema monitoring, so quality problems surface before a dashboard lies to someone.
Analytics Infrastructure
Amazon QuickSight and Power BI on a modelled warehouse rather than direct queries against production.
Large warehouse migrations run unattended with every stage resumable, so a mid-run failure never restarts the job. Cutovers rehearsed on a clone before a date is promised.
Scoped, delivered, handed over.
Scope
A short discovery with an engineer, not a salesperson. We agree the deliverable and what done looks like.
Assess
Read-only access first. We report what is actually there before anything changes.
Deliver
Changes land as reviewed pull requests with an audit trail. Nothing runs unsupervised.
Hand over
Runbooks, documentation and a working knowledge transfer. Your team owns it on day one.
What we work with
- Amazon Redshift
- AWS Glue
- AWS MWAA
- Apache Airflow
- dbt
- Airbyte
- Amazon RDS
- Amazon S3
- Step Functions
- Lambda
- Amazon QuickSight
- Power BI
- Python
- SQL
- Kinesis
- DMS
Bring us the pipeline nobody trusts.
Stale dashboards, silent failures, a warehouse bill nobody can attribute. All fixable.