E-Mobility Platform Migration
5x data volume
Weeks to days
One platform
Overview
From legacy fragmentation to a unified Databricks Lakehouse
The e-mobility sector is growing fast, more charging sessions, more device logs, more partner integrations. The existing legacy data setup was buckling under pressure: slow delivery cycles, fragmented data sources, quality issues surfacing too late, and no realistic path to handling 5x the current volume. We rebuilt the entire data estate on a Databricks Lakehouse, consolidating scattered pipelines into a single governed platform. The transformation gave teams the speed they need without compromising on governance or reliability.
Technologies
Challenge
What we faced
- 01Replacing legacy pipelines that took weeks to deliver new features
- 02No single source of truth and limited data governance in the old setup
- 03Legacy infrastructure unable to scale to projected 5x data volumes
- 04Quality issues discovered too late in the old process
- 05Inconsistent practices and tooling across data teams
Approach
How we solved it
- 01Medallion architecture establishing clear boundaries between raw, cleaned, and curated data
- 02Unity Catalog as the governance backbone for access, lineage, and discoverability
- 03Gitflow workflows with workspace-level Git integration for consistent delivery
- 04Delta Live Tables automating pipeline orchestration and dependency management
Deliverables
What we built
- 01Complete transition from legacy pipelines to Medallion architecture (Bronze, Silver, Gold)
- 02Unity Catalog implementation for access control, lineage tracking, and centralized metadata
- 03Metadata-driven pipelines allowing new sources to be onboarded without rewriting code
- 04Embedded data quality checks with logging, alerting, and trend analysis
- 05Automated orchestration via Delta Live Tables and continuous streaming pipelines
- 06High-performance Power BI layer powered by Databricks SQL Warehouse
Results
The impact we delivered
Delivery time collapsed from weeks to days for new pipelines, models, and dashboards
Platform now handles 5x data volume without performance degradation
Reliability dramatically improved with quality, governance, and monitoring built in
One unified platform replacing fragmented legacy systems
Foundation ready for next-phase capabilities: AI models, forecasting, and real-time monitoring
Ready to leave your legacy behind?
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