Design, develop, and maintain scalable, resilient data pipelines and ETL frameworks in cloud environments to support advanced analytics and AI/ML initiatives.
Build optimized data processing solutions, database architectures, and reusable frameworks for large-scale data ingestion, transformation, and validation.
Develop high-performance Python- and SQL-based solutions for complex data processing and analytical workloads.
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions and actionable insights.
Ensure data quality, governance, reliability, and operational e...