I'm a data science masters graduate with 4+ professional experience in Business Intelligence and Analytics.

Tech-stack experience:

- SQL: 6+ years --> PostrgreSQL, Redshift, Snowflake, BigQuery

- Looker: 4+ years

- DBT: 4+ years

- Airflow: 2+ years

If you feel we have a similar tech-stack background, i'll be happy to have a quick call and discuss business. 

Specialised in:

• Design and implement high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses
• Design and implement Looker structures (explores, views, etc) which will enable users across the organisation to self-serve data
• Work closely with data analysts and product teams to understand business requirements and provide data ready for analysis and reporting
• Write complex yet optimised data transformations in SQL using dbt
• Leverage domain, data model and SQL knowledge to answer to Adhoc stakeholder data requests, but ensuring these are strategically minimised
• Schedule data transformation and analysis pipelines using airflow
• Continuously discover, transform, test, deploy and document data sources and data models
• Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practises and peer reviews

Challenges I'm most interested in right now include unifying data, optimizing queries and data marts for performance, building scalable and helpful data marts, being a detective to understand meanings, and data governance.