Ajay Kammardi Suryanarayana
About Ajay Kammardi Suryanarayana
Ajay Kammardi Suryanarayana is a Senior Data Engineer at Delivery Hero in Berlin, Germany, with a decade of experience in IT, focusing on deep learning, machine learning, data science, and data warehouse development.
Current Role at Delivery Hero
Ajay Kammardi Suryanarayana is presently employed as a Senior Data Engineer at Delivery Hero, located in Berlin, Germany. In this position, he is responsible for handling data engineering projects that align with the company’s goals. His role involves designing and implementing data pipelines, optimizing database performance, and ensuring the accuracy and reliability of data-driven insights.
Previous Role at Zalando
From 2019 to 2021, Ajay worked as a Data Engineer at Zalando in Berlin, Germany. During this period, he contributed to developing scalable data solutions that supported Zalando’s e-commerce platform. His responsibilities included creating data models, maintaining data infrastructure, and collaborating with cross-functional teams to deliver actionable data insights.
Experience at redBus
Ajay served as a Senior Data Engineer at redBus from 2018 to 2019 in Bengaluru, Karnataka, India. In this capacity, he focused on building and maintaining data systems to support various business functions. His role entailed ensuring data quality, developing data processing frameworks, and supporting analytical initiatives to drive business decisions.
Roles at BT and Tech Mahindra
Ajay has accumulated substantial experience at BT and Tech Mahindra. As a Consultant at BT from 2016 to 2018 in Bengaluru, he provided expert guidance on data-related projects. At Tech Mahindra, he held multiple positions from 2011 to 2016, including Software Engineer, Senior Software Engineer, and Technical Lead. These roles collectively involved software development, project leadership, and mentorship responsibilities.
Expertise and Interests
Ajay has a decade of experience in the IT industry, with a focus on deep learning, machine learning, data science, and data warehouse development. His technical expertise and professional experience are geared towards leveraging data-driven technologies. He is particularly passionate about data engineering and aims to further his career in this dynamic field.