Data Platform on Databricks – Data Management | CloudBoostUP

Build production-grade data pipelines on Databricks. Ingestion, transformation, and serving layers, all managed as code.

Who this is for

Companies that need to turn raw data into business value on Databricks. Whether you are building your first data pipelines or replacing fragile, hand-maintained ETL jobs, you need a structured approach. You do not need to have Databricks infrastructure already; we can set that up as part of a combined engagement.

What we deliver

• Data Ingestion Pipelines: Automated ingestion from source systems into your lakehouse, batch or streaming, built as code.
• Medallion Architecture: Bronze, silver, and gold layers structured for data quality, lineage, and reuse across teams.
• Transformation Layer: PySpark and SQL-based transformations: tested, versioned, and deployed through CI/CD.
• Serving & Analytics: Gold-layer datasets ready for BI tools, dashboards, and downstream consumers.
• Documentation & Handover: Your team can maintain and extend everything we build, or we continue managing it as a service.

How it works

1. Discovery: Understand your data sources, business questions, and current pipeline state.
2. Architecture: Design the lakehouse layers, pipeline topology, and data quality strategy.
3. Build: Pipelines as code: PySpark jobs, Delta Live Tables, CI/CD, monitoring.
4. Handover or Operate: Documentation and knowledge transfer; your team takes ownership, or we continue managing the platform as a service.