As a dynamic and results-driven Cloud AI & Data Engineer with over 2.5 years of experience at Boeing, I have a proven track record in architecting and implementing complex data solutions, ETL processes, and AI/ML models within hybrid cloud environments. My expertise spans across designing scalable data pipelines using Databricks, Delta Lake, Spark SQL, and PySpark, ensuring real-time data ingestion and processing across diverse cloud platforms. With a strong focus on data quality, performance optimization, and collaboration, I have successfully supported mission-critical aerospace operations by delivering high-quality data solutions.In my previous role as a Cloud DevOps Engineer, I spearheaded cloud-native application migration projects, leveraging containerization and Infrastructure as Code (IaC) methodologies to enhance agility and scalability within Azure’s ecosystem. I implemented AI-driven cost optimization strategies, resulting in annual savings of over $2 million, and played a key role in developing reusable DevOps automation processes that significantly accelerated development cycles.Additionally, my experience as a Full Stack Developer allowed me to design and develop scalable systems and responsive user interfaces using technologies like Node.js, React, and Angular. I contributed to the 777x flight simulator project by integrating RESTful APIs and GraphQL, which improved data retrieval speeds and ensured rigorous safety and performance standards.I am passionate about leveraging AI/ML models, cloud technologies, and data engineering practices to drive innovative solutions. My commitment to excellence and continuous learning enables me to stay at the forefront of emerging technologies, ensuring I deliver impactful results that align with organizational objectives and enhance operational efficiency.