About

Aniket Alhat is an accomplished Engineering Manager at Rakuten with over 9 years of experience in big data, ad tech, event analytics, and time series data processing. He is a skilled technologist with expertise in Python, Java, real-time distributed systems, batch processing systems, MQ systems, databases, object-oriented design, and Linux. Aniket is closely involved with data scientists in building distributed data processing applications to analyze or model data with the goal of answering a question or discovering insights. He is passionate about researching and experimenting with emerging technologies and tools related to big data. As a Lead Software Engineer at Rakuten Americas, Aniket is responsible for owning the platform development process from inception to production deployment, including project scheduling, design, implementation, and coordination with other team members. He works closely with product management and data scientist teams to define and refine the big data platform to achieve company product and business objectives. Aniket also collaborates with other technology teams and architects to define and develop cross-function technology stack interactions. Aniket's past experiences as a Senior Software Engineer and Software Engineer at Rakuten have given him the opportunity to design and develop new components of the parallel big data processing platform, develop and deploy stream and batch processing data pipelines, and work with the engineering management team to establish and reinforce disciplined software development processes and best practices. Aniket holds a degree in Management Program from Yale School of Management and a Bachelor's degree in Computer Science from Savitribai Phule Pune University and Pune Institute of Computer Technology. Overall, Aniket is a highly skilled and experienced technologist with a passion for big data and emerging technologies. He is an asset to any team and is committed to achieving company objectives through disciplined software development processes and best practices.