Teams at Weekday, Inc.

Design, develop, and deploy scalable ETL/ELT data pipelines and enterprise data warehouses using SSIS, Azure Data Factory, Databricks and Synapse. Collaborate with BI and business teams to define requirements, build dashboards/cubes, monitor and optimize BI solutions, and provide technical leadership and troubleshooting for large-scale analytics workloads.

Design, develop, and optimize Databricks-based ETL/data pipelines using PySpark and SQL. Integrate diverse data sources, ensure data quality and governance, collaborate with stakeholders, and improve pipeline performance and scalability in cloud environments.

Design, build, and optimize scalable AWS-based data platforms and ETL/ELT pipelines using Python/PySpark and SQL. Implement data warehouses, data lakes/lakehouse architectures, ensure data quality/governance, optimize performance, enable analytics/ML use cases, monitor reliability, and mentor junior engineers while supporting deployments and platform improvements.