Completed an intensive, hands-on Data Engineering mentorship program covering distributed computing, cloud lakehouse architecture, and data governance — applying each concept through guided, real-world pipeline-building exercises.
• Built and orchestrated scalable ETL and automated batch-processing pipelines using Databricks Jobs & Pipelines, PySpark, and SQL
• Enforced schema validation and applied Delta Lake ACID transactions to guarantee data consistency across pipeline runs
• Practiced production-grade workflows by version-controlling all pipeline code in Git/GitHub throughout the program