- Build and maintain ETL pipelines using Python, SQL, and Databricks; - Orchestrate workflows with Airflow and Prefect; - Manage cloud data environments, such as Azure Databricks; - Develop data models and ensure data quality and governance; - Create interactive dashboards and reports in Power BI; - Administer PostgreSQL and MySQL databases, optimizing queries and performance; - Automate reports, integrations, and data processes; - Analyze client behavior, product performance, and business KPIs; - Collaborate with business and analytics teams to improve data insights; - Support financial data workflows in the banking sector; - Improve data reliability and accessibility across systems; - Solve complex problems and deliver data-driven solutions.
Member Since
April 1, 2026
Last Active
a month ago