Azure Databricks

- Developing and supporting data engineering workstreams for Azure Databricks, Informatica Intelligent Cloud Services, and cloud-based data platforms
- Building and maintaining data pipelines, transformation logic, and integration flows across modern analytics environments
- Designing, testing, and tuning data models, warehouse structures, and processing jobs to support reliable reporting and analysis
- Translating client data needs into scalable technical solutions for ingestion, cleansing, validation, and delivery
- Monitoring data quality, pipeline performance, and troubleshooting activities to identify issues and refine processing logic
- Applying Microsoft Azure Databricks, Azure Data Factory, Apache Airflow, and Snowflake tools to deliver modern data modernization solutions
- Documenting technical design decisions, dependencies, and delivery status to support project coordination and stakeholder visibility
- Collaborating with cross-functional teams and mentoring junior team members through technical review and problem solving