At my current role at Blend, I collaborate with clients as well as internal tech leadership to come up with innovative, AI/ML deployment solutions to real world problems involving setting up of end to end objectives, goals thereby streamlining the subsequent efforts to achieve it. Subsequently these objectives are translated into technical specifications in terms of setting up ingestion pipelines, setting up MLOps TTDI(Train, Test, Deploy, Infer) pipelines as well as DevOps Pipelines powered by Azure. As a Senior Data Engineer at Deloitte, I collaborated with clients and stakeholders to design, develop, and deploy scalable and reliable cloud-based big data solutions using AWS, PySpark, Airflow, SQL, and other technologies. I have successfully delivered multiple projects involving data ingestion, transformation, warehousing, modeling, and governance for various domains and industries. I have over seven years of experience in data engineering, (incl the above) with previous roles at Tredence Analytics and Harman India, where I honed my skills in big data, NoSQL, and ETL. I also hold an AWS Certified Solutions Architect – Associate credential and a B.Tech. degree in Electronics & Communication Engineering from Manipal Institute of Technology. I am passionate about solving complex data problems and creating value for businesses and customers. I am always eager to learn new tools and techniques and to share my knowledge and insights with others. Here to look specifically for product based roles.