• Architected and optimized data pipelines, enhancing workflows and increasing operational efficiency by 15%.• Collaborated with cross-functional teams to implement data solutions, reducing operational costs by 20% through improved data management and automation.• Streamlined ETL processes using Python and Apache Spark, cutting data processing time by 30% while ensuring data accuracy.• Developed and maintained scalable data models, improving data accessibility and driving key business decisions.• Utilized SQL for efficient data extraction, transformation, and loading (ETL), leading to enhanced data quality and performance.• Designed and deployed data visualizations in Power BI, facilitating faster decision-making and increasing stakeholder engagement.• Leveraged cloud platforms and Git for version control and seamless integration with various data sources.

• Led the development of cloud-based data pipelines, automating data flows between APIs and the database, reducing manual input by 40%. • Processed and cleaned data with Python and SQL, improving data accuracy by 25%. • Developed automated data reporting processes, reducing the time required for reporting by 40%. • Built and maintained scalable data storage systems, ensuring efficient data retrieval and storage. • Integrated API-driven data collection into web applications, enhancing data flow automation and user experience.