Naresh Erukulla is a highly skilled data engineering professional with over 10 years of experience in designing and implementing scalable, data-driven solutions that drive business transformation. As the Lead Data Engineer at Macy’s Inc., he plays a key role in shaping the company’s data strategy, ensuring data quality, and integrating machine learning models into data pipelines. His expertise spans cloud computing, big data analytics, Python, machine learning, and AI technologies, and he has led high-impact projects that have driven retail sales growth, improved customer acquisition rates, enhanced performance, and delivered cost-cutting solutions.
Naresh’s previous experience at Cognizant Technology Solutions and Sunmerge Systems Inc. includes leading data analytics and cloud migration projects, leveraging Google Cloud, Python, and business intelligence tools. He holds a Master of Science in Computer Science and is a Google Cloud Professional Data Engineer. Naresh has authored research in leading journals and is recognized as a thought leader in the field.
As a Google Cloud Professional Data Engineer, Naresh stays abreast of emerging trends in data engineering, AI, and machine learning, ensuring that his work remains at the forefront of innovation and technical rigor.