Austin Levine

We help our customers go from: • Minimal to no reporting setup • Outdated, legacy setups based on Excel or Sheets • Patchwork, no-code setups that have become unmanageable • Aging setups that hold back their data's potential To: • Industry standard, modern data stack that scales • Fully automated reporting and dashboards • Validated data they can finally trust

Modernized the entire Business Intelligence & analytics stack: Airflow, Snowflake, dbt, Fivetran, Metabase

Built the entire analytics architecture for the website, e-commerce shop, and order fulfilment lifecycle — from third party integrations (Airflow) to data modelling and validation (dbt), to dashboarding and discovery (Looker)

• Built complex Airflow jobs for ETL, third-party integrations, and data quality monitoring • Removed dependency on costly third-party data replication tool by building a more flexible version in-house • Provided SQL query optimization help for the Data team, cutting query costs by up to 99%

• A/B tested various in-app features by scoping event tracking requirements, designing experiments, building dashboards, automating readouts, and presenting learnings and recommendations to Product org • Created company and cross-functional squad KPIs through exploratory data analysis findings • Built machine learning models to predict user retention

• Owned reporting for global rider re-engagement campaigns; responsibilities included experiment design, KPI creation, automating readouts, presenting learnings • Built dashboards to monitor self-created squad KPIs and ongoing experiment results for Rider org

• Loaded, cleansed, and validated large sets of transactional data for U.S. Department of Justice FCPA investigations • Remotely managed a team of Associates in Deloitte’s U.S. India office