Data & Cloud
Data infrastructure
built to be trusted.
Unreliable data infrastructure costs more than no data infrastructure — it produces wrong answers with false confidence. GreaterHeight builds data engineering systems that are observable, testable, and maintained to a production software standard.
Capabilities
Data engineering services
Pipeline Design & Build
ETL and ELT pipelines that extract from any source — databases, APIs, files, event streams — transform reliably, and load into your target systems with full lineage tracking.
Data Lake Architecture
Raw, staged, and curated data zones with clear contracts at each layer — giving analytics and AI teams access to data that is clean, versioned, and documented.
Streaming Pipelines
Real-time data processing with Apache Kafka and cloud-native streaming services — for operational use cases that cannot wait for overnight batch jobs.
Data Quality Framework
Automated data quality checks, schema validation, anomaly detection, and data contract enforcement — making pipeline failures visible before downstream consumers are affected.
Pipeline Orchestration
Workflow orchestration with Apache Airflow and cloud-native schedulers — dependency management, retry logic, alerting, and backfill capability for complex pipeline graphs.
Data Observability
Lineage tracking, freshness monitoring, volume and schema change detection — so your team knows the state of the data estate without manual investigation.
Need data infrastructure you can trust?
Talk to our data engineering team about your pipeline and architecture requirements.