SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.
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Updated
Mar 3, 2026 - Python
SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.
Refresh incremental de modelos semânticos do Power BI via XMLA: partições, tabelas e políticas de atualização (Python + SQL)
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.
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.
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.
Incremental refresh solution for Microsoft Fabric dataflows with advanced bucketing, retry mechanisms, and CI/CD support
Delarative pipeline demo in databricks, source data from s3 external location, incremental refresh using streaming table
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.
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.
🎯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.
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