At Accordion, I design end-to-end ETL pipelines across AWS and Azure, cutting manual processing by 80% and improving data refresh efficiency by 50%. I build Medallion-based Redshift datasets with dbt, automate monitoring with Azure Logic Apps, and optimize SQL models for Power BI reporting.
Previously at Amazon.com, I built scalable S3, Lambda, and Redshift workflows that reduced ETL processing time by nearly 70%. Using Python and SQL, I improved data accuracy and reliability by 98% and delivered QuickSight dashboards that shortened reporting turnaround by 65%.
I also build data products spanning AWS Glue, PySpark, Azure Data Factory, Databricks, Snowflake, Tableau, and customer segmentation analytics.
