Service
Enterprise Data Engineering
Reliable ingestion, transformation and modeling pipelines that turn operational systems into analytics-ready data.
Business challenges
- Data trapped in ERP, CRM and operational databases
- Fragile, manual extracts and spreadsheets
- Slow or failing refreshes as volumes grow
- No single definition of key business entities
Proposed approach
- 01Assess sources, volumes, latency needs and ownership
- 02Design ingestion (batch or CDC) and layered storage
- 03Build version-controlled transformations with tests
- 04Document lineage and hand over runbooks
Technical solutions
- CDC ingestion with Airbyte
- ETL/ELT with Azure Data Factory, SSIS, Alteryx and Python
- dbt transformation and testing
- ClickHouse and SQL Server analytical stores
Deliverables
- Source-to-target mapping
- Ingestion and transformation pipelines
- Data model and documentation
- Operational runbook
Expected business value
- Fresher, more trustworthy data
- Less manual extraction effort
- A foundation that scales with the business
Outcomes depend on each organization's data, systems and context; these describe the value the approach is designed to deliver.
Related experience
Business & Project Collaboration
Have a Data, Analytics or Digital Transformation Project?
Looking to modernize your data infrastructure, build an enterprise data warehouse, automate business reporting, or implement intelligent business analytics?
Let's discuss your requirements and explore how I can help turn your business challenges into practical technology solutions.
Engagements I can discuss
- Enterprise Data Engineering Projects
- Data Warehouse & Lakehouse Implementation
- Power BI & Superset Development
- Business Intelligence Consulting
- ERP Data Integration
- Reporting Automation
- Digital Transformation Initiatives
- Analytics Architecture & Strategy
- Technical Consulting & Collaboration
Inquiries are handled personally and confidentially. I take on engagements as an independent professional, not as a registered consulting firm.