I am a mid-level Data Analyst with over three years of experience across the data lifecycle, including source extraction, transformation, quality assurance, governance, and reporting delivery. I specialize in building reliable data products that help business stakeholders make informed decisions.
I design and maintain multi-source ETL/ELT pipelines that integrate relational databases, spreadsheets, and APIs. My work includes canonical key generation, source-priority deduplication, volumetric reconciliation, and consistency validation before data releases.
I have advanced experience with SQL Server, complex joins, CTEs, window functions, dimensional modeling, Power BI, DAX, Power Query, and Excel. I build Star Schema models and self-service reporting environments used by operations managers and executive leadership.
Data quality, lineage, and governance are central to my work. I maintain metric dictionaries, document business rules and data lineage, and establish standardized KPI definitions to create a single source of truth across teams.
I also automate analytical workflows using n8n and LLM-powered assistants, applying structured output schemas and validation layers against raw database queries. I am developing my Python, Pandas, Git/GitHub, and cloud data warehousing skills while seeking remote-first, high-autonomy data opportunities.
