Building scalable and fault-tolerant data pipelines using Python/Spark, resulting in improved system reliability and 99.9% uptime.Automating data workflows using Control-M Scheduler and Python, resulting in a hefty reduction in manual effort and improved data accuracy Training and mentoring team members on big data technologies, and other technologies, resulting in improved technical skills and team productivity.Designing and implemented ETL processes for a large-scale data migration project. Working with business stakeholders to understand data requirements and designing ETL workflows to meet those requirements.