Implemented Amazon’s Thinking backward strategy to design a cross-team analytics product that uses existing data sources to show 6-week and 12-month trailing timelines for input and output metric to spot time-variant trends.
Designed and tracked end to end metrics (conversion rate) for content and curation value stream helping identify initiatives to prioritize which helped the stakeholders to take better business decisions.
Created ETL pipelines using AWS Glue, PySpark, and S3 to automate data processing and transformation tasks.
Utilized Airflow to schedule and execute SQL and pandas scripts, improving the efficiency of data workflows.Implemented Amazon’s Thinking backward strategy to design a cross-team analytics product that uses existing data sources to show 6-week and 12-month trailing timelines for input and output metric to spot time-variant trends. Designed and tracked end to end metrics (conversion rate) for content and curation value stream helping identify initiatives to prioritize which helped the stakeholders to take better business decisions. Created ETL pipelines using AWS Glue, PySpark, and S3 to automate data processing and transformation tasks. Utilized Airflow to schedule and execute SQL and pandas scripts, improving the efficiency of data workflows.
- Skills: Apache Airflow · dbt · SQL · AWS Glue · PySpark · Machine Learning