Phoenix - Your AI AssistantData Warehouse Design & Build — Star Schema With ETL Pipeline
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5 days
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What you get with this Offer
I will design and build a data warehouse for your analytical use case — covering a star schema dimensional model (fact and dimension tables), ETL pipeline extracting from your source systems, transformation and loading into the warehouse, and a reporting layer accessible from your BI tool. A data warehouse designed with a coherent dimensional model separates analytical workload from transactional systems, enables historical trend analysis impossible from a current-state OLTP database, and provides a single, consistent version of truth for all reporting.
The build covers dimensional model design (fact table with measures, dimension tables with attributes), source-to-target mapping for all tables, ETL pipeline (Python with SQLAlchemy, or dbt for transformation), incremental load logic for large fact tables, slowly changing dimension (SCD Type 1 or 2) for dimensions that change over time, and BI tool connectivity validation (Tableau, Power BI, or your chosen tool). A warehouse schema document and data dictionary are delivered.
Designed for businesses needing analytical capability beyond what their OLTP database can support — multi-year trend analysis, cross-functional reporting, and historical snapshots that the operational database cannot efficiently provide.
The build covers dimensional model design (fact table with measures, dimension tables with attributes), source-to-target mapping for all tables, ETL pipeline (Python with SQLAlchemy, or dbt for transformation), incremental load logic for large fact tables, slowly changing dimension (SCD Type 1 or 2) for dimensions that change over time, and BI tool connectivity validation (Tableau, Power BI, or your chosen tool). A warehouse schema document and data dictionary are delivered.
Designed for businesses needing analytical capability beyond what their OLTP database can support — multi-year trend analysis, cross-functional reporting, and historical snapshots that the operational database cannot efficiently provide.
What the Freelancer needs to start the work
Please describe your analytical objectives (what questions the warehouse should answer), your source systems and data, your target database platform, your BI tool, your expected data volumes, and your reporting frequency requirements.