Versatile Data Engineer with a solid foundation in Python, Spark, and PySpark, complemented by extensive experience in data warehousing. Proven expertise in architecting end-to-end data solutions, leveraging Azure Databricks for advanced analytics, and optimizing data workflows. Proficient in SQL, Azure Synapse, and Python, ensuring seamless integration within comprehensive data architectures on the Azure and Google Cloud platform. Skilled in designing and implementing scalable data pipelines using Azure Data Factory and Airflow, with a focus on performance tuning and data warehousing best practices. Dedicated to staying current with emerging technologies, I bring a multifaceted skill set to collaborative projects. Eager to contribute my experience in Azure services, SQL, Spark, PySpark, Python, and data warehousing to drive data innovation and strategic decision-making. Technical Skills: • Apache Spark • PySpark • Azure Cloud • Google Cloud • Azure DataBricks • Python • Airflow • Azure Data Factory • Google BigQuery • Azure Synapse • SQL Server • MySQL • GenAI Certifications: • DataBricks Certified Data Engineer Associate • Data Engineering with Microsoft (DP-203) • Azure Data Fundamentals (DP-900) • Azure Fundamentals (AZ-900) • Power Platform Fundamentals (PL-900)