
Analytics-focused data professional with 5+ years building the layer between raw source systems and trusted business reporting. Designs dimensional models, builds SQL and dbt transformation layers, and ships cloud pipelines on AWS (Redshift, Glue, S3) and Azure (Synapse, Data Factory). Comfortable owning a dataset end to end — ingestion, modelling, testing, documentation, and the semantic layer that sits on top. Background in finance and audit gives strong instincts for data quality and what a number actually means to the business.
Languages SQL (advanced), Python (Pandas, NumPy, PySpark), DAX, Power Query (M)
Transformation & Modelling dbt (models, tests, documentation, incremental), dimensional modelling (star schema, facts & dimensions, SCDs), conceptual/logical/physical modelling, medallion architecture
Cloud & Warehousing AWS (Redshift, Glue, S3, Athena, Aurora, Lambda), Azure (Synapse Analytics, Data Factory), Databricks
Pipelines & Orchestration ETL/ELT design, batch ingestion, API integration, AWS SAM, Azure DevOps CI/CD, Git
BI & Semantic Layer Power BI (semantic models, RLS, Power BI Service), Tableau, Excel
Data Practice Data quality frameworks & validation rules, source-to-target mapping, data lineage, data dictionaries, metadata & governance, GDPR
Microsoft Certified: Power BI Data Analyst Associate (PL-300)