Services
Data & Analytics that drive outcomes
From raw streams to governed metrics and ML features—built for speed, trust and cost control.
Why it matters
Trusted, fresh, and well-modeled data cuts decision time and powers AI use-cases—while governance and cost controls keep you safe.
- Data products with clear owners, SLAs and contracts.
- Discoverable assets with lineage and semantic metrics.
- Near-real-time where it matters, batch where it pays.
- FinOps for warehouses & pipelines—no bill shock.
What we deliver
- Snowflake / Databricks / BigQuery architectures
- Bronze–Silver–Gold models, Delta/ICEBERG
- Performance tuning, caching & clustering
- CDC, Kafka/Kinesis/PubSub, orchestration
- dbt, Airflow, Delta Live Tables
- Testing, SLAs, data contracts
- Catalog/lineage (OpenLineage), ownership & SLAs
- Row/column security, masking, tokenization
- DQ rules, anomaly detection, great_expectations
- Semantic layers (MetricsLayer/LookML/dbt metrics)
- Dashboards & exploration (Power BI / Looker / Tableau)
- Embedded analytics & exports
- Feature stores, experiment tracking
- Model registry & serving endpoints
- Feature computation & online/offline sync
- Cost visibility & chargeback for data products
- SLOs for freshness & availability
- Incident response, runbooks, auto-remediation
Reference lakehouse flow
Ingest → bronze → quality checks → silver marts → semantic layer → BI & ML features—observable with freshness/volume SLOs.
- CDC + streams for low-latency domains
- dbt models with tests & docs
- Semantic metrics for consistent KPIs
FAQs
We’re platform-agnostic; guide by your constraints (skills, cost, compliance) and interop needs.
Tests in code (dbt/GE), SLOs for freshness/volume, and alerts into on-call with runbooks.
Yes—start with one domain and a thin platform slice; expand to additional data products.
Curated features and governed datasets feed ML; we add eval/observability for safe rollout.
Ready to unlock your data?
Describe your domains, sources and BI goals—let’s map a pragmatic roadmap.