Strong ETL experience and hands-on expertise in AWS Glue, Airflow, Python, and SQL-based systems.
This role focuses on building scalable data pipelines, performing efficient data transformations, and managing data across cloud and relational platforms.
Design, develop, and maintain robust ETL workflows using AWS Glue and Airflow Write and optimize stored procedures in SQL Server and PostgreSQL
Build and manage data pipelines for ingestion, transformation, and delivery
Develop reusable Python scripts for data processing and validation
Work closely with analysts, data scientists, and business stakeholders to meet data requirements
Monitor ETL performance and troubleshoot issues proactively Ensure data quality, integrity, and security across all environments
