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Mohanarajesh Kommineni
Mohanarajesh Kommineni
a Master of Computer Science and engineering with 11 years of experience, is a Senior Data Engineer specializing in the Healthcare insurance, Life insurance, Construction, Restaurant and Supply chain industries. With expertise in architecting, designing, developing, automating, and testing. Throughout my career, I have actively contributed to the advancement of Software Engineering demonstrating a commitment to innovation and excellence. My technical expertise spans Leading project with onshore and offshore model solving migration issues for reporting and architecting Azure services for non-cloud clients to capture data processing from external vendors and I have a proven track record of leadership in handling team to contribute for company benefits which fits with certification career advancement in technologies. Working as Principal Engineer and Senior Data Engineer adding value to life insurance client as data Modeler (ER Studio) to design model for warehouse and API. Using ER Studio data Architect and ER Studio Business Architect tools to design Logical and Conceptual data models for business purpose. Added all entities and relationships for common model which helps in processing analytical data and improve business needs. Worked as Principal Engineer and participated in Architecting solution on Azure cloud for client during POC. Designed Azure architecture to convert 3rd party input data and transform the analytical data to warehouse for behavioral health client. Implementing warehouse and processing complete data in client’s database. Designed data model using Erwin and created the Datawarehouse structure and updated existing MDH model to eliminate duplicates in data processing from legacy system integration with current system. Migrated reports and implemented solutions by converting functions from Teradata to snowflake and upgraded all existing reports for PowerBI and SSRS and deployed to production validating and comparing with existing reports data. Worked on Water fall model and migrated to Agile model with daily Scrum, sprint reviews and sprint planning. I have been actively involved in publishing a research book on cloud computing titled as “Risk Analysis For Exploring the Opportunities In Cloud Outsourcing” with LAP LAMBERT Academic Publishing while working on the research in 2013 where there was big scope in cloud computing area to address. I have authored paper; Develop New Techniques for Ensuring Fairness in Artificial Intelligence and ML Models to Promote Ethical and Unbiased Decision-Making; in International Journal of Innovations in Applied Sciences & Engineering(ijiase) Participated in 3rd International Conference on Research in Multidisciplinary studies. Presented paper titled “Developing generative models that protect data privacy while producing meaningful synthetic data train the models” in Conference Artificial Intelligences Impact on Transforming Software, Robotics, Electrical, Electronics; Mechanical Fields - Series – 2. My dedication to advancing technology and mentoring the next generation of engineers aligns with interest in becoming member of IEEE, IGI and Inder science. I am committed to fostering technological innovation and excellence in engineering education.
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