I am an accomplished data engineering leader with expertise in building end-to-end data solutions across multiple industries. With over 6 years of experience architecting and implementing complex data pipelines using cloud services (AWS, Azure), Databricks, Python, SQL, and various CI/CD and visualization tools, I specialize in transforming raw data into actionable insights. I'm passionate about democratizing data access and creating self-service analytics platforms that empower teams to make data-driven decisions.

My technology stack spans the full data lifecycle from ingestion to visualization, including Big data technologies, AWS Cloud Services, DevOps and CI processes, Tableau, PowerBI, and SQL databases. I enjoy sharing practical knowledge about extending visualization capabilities, data pipeline automation, and bridging the gap between technical and non-technical stakeholders.

Outside of data engineering, I'm passionate about mentoring data professionals transitioning into the field, speaking at technical conferences, and contributing to research in AI-driven anomaly detection.