Open Source data engineering demo project using dbt, DuckDB, dlt, Dagster and Metabase.
SCD2 implementation using pyspark
A modern banking data pipeline built with Dagster and DBT!
Fortune-500-grade banking analytics platform: OLTP -> medallion lakehouse -> Kimball star schema -> semantic layer -> 9-tab executive dashboard + 5 ML models (churn, fraud, segmentation, forecasting). Production-ready, governed, fully tested.
Governed ARR, retention, and AI-adoption metrics with SCD2 modeling, role-based access, and safe SQL compilation.
Legacy HR and payroll data migrated into a Workday-shaped target: staged, cleansed, validated, loaded and reconciled to the cent, with every rejection and change traced to a numbered rule. Pure Python + SQLite, zero dependencies, with an interactive replay of the run.
PostgreSQL service-desk DB for a residential complex: SCD2 dimension, validation triggers, partitioning, EXPLAIN demos and a seeded Faker data generator
This is a data engineering pipeline built on Databricks + Delta Lake + PySpark that ingests travel booking and customer master data, applies SCD Type 2 logic, and delivers analytics-ready tables. It includes data quality enforcement, dimension versioning, fact aggregation, and performance tuning.
Analytics data warehouse for a production livestock ERP — dbt + BigQuery, 5-layer architecture, DAMA-DMBOK governance implemented as executable tests.
Pipeline ETL MySQL en 3 couches - staging, modele en etoile avec SCD Type 2, marts analytiques. Orchestrateur Python, 18 tests de coherence inter-couches
Convention-aware integrity auditor for SCD Type 2 dimensions. 16 SQL checks covering overlaps, gaps, current-flag drift, sentinel drift and point-in-time referential breaks, with findings ranked by the fact rows and revenue at risk and idempotent repair SQL in DuckDB and Snowflake via sqlglot. 1.28M version rows audited in 3.95s.
PySpark bronze/silver/gold CDC pipeline with SCD Type 2, data-quality gates and idempotent runs
Production-style retail lakehouse implementing incremental ingestion, CDC, SCD Type 2, data quality, and dimensional modeling across Bronze, Silver, and Gold layers.
One dbt project, three platforms: a tested star schema with SCD2 history and an AI-ready vector layer, built on PostgreSQL, Snowflake and Databricks from synthetic private-markets data.
Read-only temporal-integrity validator for SCD Type 2 dimensions. Runs seven DuckDB window-function checks (overlaps, gaps, multiple current rows, and more) and reports each violation's blast radius in keys, fact rows, and dollars.
SCD Type 2 loader in PostgreSQL - hash-based change detection, idempotent merge, point-in-time history.
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