I am a data professional with 6+ years of experience building and managing data systems.

I handle the full lifecycle of data, from initial ingestion and pipeline construction to final visualization and stakeholder reporting.
​My approach focuses on reliability, clear documentation, and technical ownership.

​Core Capabilities
​Data Engineering: Building end-to-end pipelines using Snowflake, dbt, and Python.
​SQL & Transformation: Writing and optimizing complex queries and building dimensional models (Star/Snowflake schemas).
​Integration & Automation: Connecting third-party APIs (e.g., Google, Greenhouse, Visier) and automating workflows using Python or Power Automate.
​Business Intelligence: Developing production-ready dashboards in Tableau, Looker, and Power BI.
​Data Governance: Implementing PII protocols, data dictionaries, and technical SOPs to ensure data quality and security.
​Advanced Tooling: Expert-level Excel (Power Query/Pivot) and version control using GitHub/VS Code.

​Work Style
​I work within Agile/Scrum frameworks and prioritize maintainable code. Whether you need a one-time API integration, a dbt semantic layer setup, or ongoing data model maintenance, I provide the technical execution and the documentation to back it up.