Home / Editorial board member / KOS Journal of AIML, Data Science, Robotics / Mr. Srinivasa Chakravarthy Seethala

Mr. Srinivasa Chakravarthy Seethala

Senior Data Engineer
Artificial Intelligence and Big Data
HCL America Inc, USA

To leverage extensive expertise in AI-driven data engineering, Big Data solutions, and data warehouse modernization to drive innovation and excellence in Information Technology. With a proven track record across industries such as Finance and Banking, Manufacturing, Consumer Goods, Healthcare, Energy and Utilities, Card Networks, and Insurance, the focus is on delivering transformative solutions that align with business objectives and drive strategic growth. The objective is to apply skills in data migration, ETL optimization, data quality assurance, and AI-powered automation to solve complex challenges in data management and integration. By leveraging technologies like Snowflake, DBT, Informatica, and Teradata Vantage, the goal is to modernize data ecosystems, enhance scalability, and improve operational efficiency. Committed to driving advancements in data governance, AI-enabled workflows, and cross-platform data integration, with a focus on building futureproof data architectures. Seeking collaboration with forward-thinking organizations that value innovation and expertise to contribute significantly to growth while establishing thought leadership in AI and Big Data-driven IT transformations. My ability to integrate cross-platform data architectures, cloud-based solutions, and AI-driven analytics ensures seamless interoperability and scalability while optimizing cost efficiency. Leveraging state-of-theart technologies such as Snowflake, DBT, Informatica, Teradata Vantage, and AWS/Azure cloud ecosystems, I have played a key role in modernizing legacy systems, implementing AI-powered ETL workflows, and driving enterprise-wide digital transformation. As a thought leader in AI and Big Data-driven IT innovations, I am committed to advancing cutting-edge data engineering methodologies that align with evolving industry standards, regulatory compliance, and technological advancements. My extensive research contributions, editorial board memberships, and peer-review expertise underscore my global recognition and influence in data science and AI-driven data warehousing. I seek to highlight my exceptional abilities, industry contributions, and leadership in AI-driven data engineering, demonstrating sustained impact and recognition at an international level. Through collaboration with world-class organizations, academic institutions, and research initiatives, I continue to drive innovative solutions, mentor emerging professionals, and shape the future of AI-powered data management.

Editor in Chief

Dr. James Hutson

Lead XR Disruptor and Department Head of Art History
AI, and Visual Culture
Lindenwood University, USA

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