Mahesh Kumar Goyal is a strategic technology leader and seasoned data engineer with over 15 years of experience driving digital transformation through cloud-native solutions and advanced data architectures. With a robust career spanning top-tier organizations like Google and Amazon, Mahesh has consistently delivered high-impact, scalable systems that align with business goals and accelerate innovation.
Currently serving as a Senior Data Engineer at Google, Mahesh pioneers solutions that blend machine learning, generative AI, and cloud-native infrastructure. He notably led the design and implementation of a Retrieval-Augmented Generation (RAG) agent to automate legacy-to-Google Cloud database migration, enhancing developer productivity by 50%. His contributions also include developing GenAI-powered tools for schema analysis and cloud migration, architecting lake house solutions, and building globally distributed systems using Google Cloud Spanner, Bigtable, and BigQuery. Before joining Google, Mahesh worked as a Senior Data Architect at Amazon, where he engineered data lakes and real-time analytics solutions using AWS services such as S3, EMR, Glue, Redshift, and SageMaker. His work in real-time fraud detection, social sentiment analysis, and cross-cloud data orchestration earned him recognition through white papers and public contributions to the AWS community. Earlier in his career at Tata Consultancy Services, Mahesh led impactful data modernization initiatives for automotive and energy clients, focusing on performance optimization, database governance, and cloud migrations across AWS, Azure, and hybrid ecosystems.
Mahesh's technical proficiency spans Java, Python, GoLang, and Scala, with certifications from both AWS and Google Cloud in Data Engineering, Machine Learning, and Architecture. He is passionate about enabling data-driven innovation, securing data environments, and mentoring the next generation of engineers.