• Designed and executed end-to-end scalable data warehousing and data Lakehouse solutions, including architecture, using Azure cloud services, from design to production along with performance optimization.• Proficient in Python and SQL for writing complex ETL/ELT processes using Apache Spark for data collection and integration from various sources, applying comprehensive data modeling techniques.• Applied stream and batch processing workflows, including ingestions through APIs, to deliver real-time analytics insights, enhancing decision-making capabilities.• Orchestration data pipeline performance using Apache Airflow in a Docker environment, ensuring seamless transfer of large data volumes from diverse sources and maintaining system reliability.• Implemented CI-CD pipelines, to build a robust, scalable, user-friendly, and self-serving data platform.• Developed and maintained Data Lake and Delta Lake structures, organizing data into bronze, silver, and gold tables for efficient large dataset processing and improved user interaction.

• Conducted in-depth analysis of extensive datasets utilizing Python and SQL, extracting valuable insights to drive strategic decision-making.• Built interactive reports and dashboards in Power BI to visualize trends and patterns and provide actionable insights for data-driven decision-making. • Managed and optimized digital marketing campaigns across Google and Bing Ads platforms. Employing A/B testing methodologies and statistical models to refine targeting and maximize ROI.• Applied innovative problem-solving approaches to tackle complex data challenges across the organization, fostering efficiency and driving actionable outcomes.