• Design, build, and maintain production-grade data pipelines using Airflow and AWS services like Lambda, DynamoDB • Own data ingestion from internal systems and third-party integrations (e.g., Google, Bing, external APIs). • Manage data storage and movement across S3, Snowflake, Snowpipe, and DynamoDB. • Write and maintain custom Python code that runs reliably in production. • Work across dev, staging, and production environments with proper deployment and rollback practices. • Partner with analytics, data science, and product teams to design reliable, usable data models. • Review code, mentor junior engineers, and help establish best practices for data quality, reliability, and observability. • Identify and fix performance, cost, or reliability issues in existing pipelines.