Data Engineer with a background in computer systems engineering. I design and deliver reliable data pipelines that enable analytics and reporting at scale.

• Cloud & Lakehouse: Azure (Data Factory, Databricks, Storage), Delta Lake
• Data Processing: Databricks, Spark, Python
• Data Management: SQL (Azure SQL, PostgreSQL, MySQL), dbt fundamentals
• Orchestration & DevOps: CI/CD for data workloads, Git, Docker

Building production-grade pipelines on Azure and Databricks, improving data quality, and optimizing SQL transformations for analytics teams.

• Sales analytics pipeline: Ingests multi-source sales data into Azure Data Lake, transforms with Databricks notebooks, and publishes curated tables for BI.
• Operational dashboards: Real-time metrics powered by event-driven ingestion and Spark streaming jobs.
• Data quality framework: Reusable validation checks for SQL and PySpark workloads to keep datasets trustworthy.

• Email: carolinafnicasio@gmail.com
• LinkedIn: carolinanicasio
• GitHub: CarolinaNicasio