Leads data engineering initiatives involving data architecture, modeling, integrity, and analytics platforms. Designs and implements automated ELT/ETL pipelines using Python, SQL, cloud platforms, workflow orchestration, and varied data stores. Performs SQL performance tuning, troubleshooting, and develops CI/CD workflows with Git. Independently drives complex data initiatives while applying strong analytical, problem-solving, communication, and multitasking skills.

Designs, builds, and maintains ELT jobs, data pipelines, integrations, transformations, and enterprise data solutions. The role includes data profiling, validation, cleansing, performance tuning, unit testing, automation, and BAU support. Collaborates with technical teams, business analysts, and stakeholders to define requirements and deliver scalable data and BI solutions using Airflow, Spark, Python, SQL, and AWS services.