Arif Syed

I am a seasoned Data Architect and Engineering Professional with a robust background in enterprise data modeling, system migration, and cloud-native architecture. With hands-on experience across platforms such as AWS, GCP, and Snowflake, I specialize in designing scalable and performance-optimized solutions that align closely with business needs and governance standards. Throughout my career, I’ve led cross-functional initiatives—from migrating over 600 data objects from Netezza to Snowflake to implementing Medallion Architecture for enhanced data layering and analytics readiness. My expertise spans metadata management, tokenization, and health insurance data modeling, allowing me to deliver compliant and business-relevant solutions across diverse domains. I actively contribute to Agile environments through daily Scrum participation and cross-team collaboration, ensuring adaptive planning and timely execution. My strong technical foundation includes Python programming for data transformation and visualization, as well as a growing proficiency in data science, machine learning, and agentic AI development. I thrive at the intersection of business and technology—partnering with stakeholders, analysts, and engineers to drive architectural excellence, streamline deployments, and unlock powerful insights from data. Currently holding a Chancenkarte Visa and actively seeking new opportunities in Germany, I am eager to contribute my skills and experience to forward-thinking teams building the next generation of data architecture.