Services
Data Engineering & Platforms
Build reliable, scalable data foundations ready for analytics and AI.
The business challenge
Business data often remains scattered across ERP, CRM, files, APIs, and applications. Lumera connects those sources into a governed, documented foundation teams can use.
What Lumera delivers
- Batch, incremental, or real-time pipelines matched to real constraints.
- Data models and warehouses ready for reporting, analytics, and AI.
- An observable, tested, version-controlled architecture built for production.
Core capabilities
- ETL / ELT and pipeline orchestration
- Batch, incremental, API, and CDC ingestion
- Data warehouses, data lakes, lakehouses, and data marts
- Streaming, modeling, and cloud migration
- Observability, lineage, and schema evolution
Example use cases
- ERP and CRM integration
- Enterprise warehouse and automated reporting
- Real-time operational pipelines
- Cloud data platform modernization
- AI-ready data foundation
Technologies we work with
Python- SQL
PostgreSQL
dbt
Apache Airflow
Apache Kafka
Apache Spark
Delivery approach and architecture
- 01Sources
- 02Ingestion
- 03Quality
- 04Transform
- 05Warehouse
- 06BI / AI
Engineering practices
- Raw, staging, and curated layers
- Version-controlled transformations and automated tests
- Idempotent pipelines and incremental processing
- Observability, lineage, and environment separation
Security and production readiness
- Encryption in transit and at rest, RBAC, and secrets management.
- Audit logging, classification, and backup/recovery.
- Environment segmentation, access reviews, and testable controls.