Data Engineering & Analytics
We unify your data into a modern cloud data platform, build reliable pipelines and give leaders real-time dashboards, which also lays the foundation for AI.
Capabilities
Data lake and warehouse
Modern lakehouse on S3, Snowflake, BigQuery or Databricks.
ETL and streaming pipelines
Batch and real-time pipelines with quality checks.
BI dashboards
Self-service analytics in Power BI, QuickSight or Looker.
Data governance
Catalogue, lineage, access control and compliance.
AI-ready data
Feature stores and vector stores for ML and GenAI.
Legacy data migration
Move from on-premise databases with zero data loss.
Business benefits
- One source of truth
- Real-time insight
- Trusted data quality
- Foundation for AI
Technologies we use
- Apache Spark
- Airflow
- dbt
- Snowflake
- BigQuery
- Kafka
- Power BI
How we deliver this service
- 01
Discover
Workshops to understand your goals, users and constraints, ending in a clear scope and estimate.
- 02
Design
Architecture, UX flows and interactive prototypes you can click through before we build.
- 03
Build
Agile sprints with demos every two weeks, automated tests and continuous delivery.
- 04
Launch
Security testing, performance tuning and a smooth go-live with zero downtime.
- 05
Scale & support
Monitoring, improvements and new features as your business grows.
Common questions
It depends on scope and complexity. After a short discovery call we share a clear estimate, with fixed-price, dedicated-team and time-and-material options.
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Ready to start with Data Engineering & Analytics?
Tell us about your project. We reply within one business day with next steps and a free consultation.