incremental-refresh

SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.

This project involved end-to-end implementation of a Power BI reporting solution integrated with PostgreSQL, Power BI Service, and an On-Premises Data Gateway. It covered database connectivity, semantic modeling, incremental refresh, scheduled refresh, cloud publishing, and enterprise-style troubleshooting.

Partition-level refresh planner for dbt-shaped warehouses. Propagates source change through the DAG covering late arrivals, rolling windows and grain rollups, schedules by critical path against dashboard SLAs, and proves the result row-for-row identical to a full rebuild. 84% fewer rows written. DuckDB, sqlglot, Power BI policy output.

Delarative pipeline demo in databricks, source data from s3 external location, incremental refresh using streaming table

Incremental refresh solution for Microsoft Fabric dataflows with advanced bucketing, retry mechanisms, and CI/CD support

Refresh incremental de modelos semânticos do Power BI via XMLA: partições, tabelas e políticas de atualização (Python + SQL)

Power BI marketing intelligence project tracing $97M+ ad spend through 48K leads to $150M+ revenue, with folder-based Power Query, multi-fact modeling, attribution logic, fiscal DAX, validation, PBIP source control and Power BI Service.

Enterprise Power BI for contact center SLAs: PBIP/TMDL in Git, contract-based SLA measures, calculation group, dynamic RLS, incremental refresh, report as code and a CI quality gate with the Tabular Object Model.

Interactive Power BI dashboard giving a 360° view of Finance, Sales, Marketing, Supply Chain and Executive KPIs for a consumer goods company. Built with DAX, Power Query, star-schema modelling, Row-Level Security and incremental refresh on ~3M rows.

Retail & E-Commerce Sales Analysis built with Microsoft Fabric and Power BI. Includes Dataflow Gen2 ingestion, Lakehouse-based dbo/Silver/Gold layers, Fabric pipeline orchestration, semantic modeling, DAX, RLS, incremental refresh, scheduled refresh, and interactive business reporting.

🎯Dynamic Table Lab 1: Implement Basic Dynamic Table with Incremental Refresh

How a BI platform is run in production: layered Power BI dataflows, incremental refresh, gateway governance, naming standards and Power Automate flows that alert Teams.