About

Dinesh S is a highly skilled and experienced Data Engineer with over 5 years of experience in designing and implementing data pipelines, databases, and data warehousing solutions for a variety of industries. He is passionate about building scalable and robust data infrastructure that enables organizations to harness the power of their data. With a deep understanding of data modeling, ETL workflows, and data optimization techniques, Dinesh is well-versed in a range of tools and technologies. Currently working as a Data Engineer at Wavicle Data Solutions, Dinesh has previously worked as a Senior Associate (BI & Analytics) at UnitedHealth, where he was responsible for designing, implementing, and continuously expanding data pipelines by performing extraction, transformation, and loading activities (ETL). He also investigated data to identify potential issues within ETL pipelines, notified end-users, and proposed adequate solutions. Dinesh has experience in monitoring, job scheduling, troubleshooting, back up, recovery, and system upgrading. He has also implemented Microsoft Business Intelligence BI platforms including SQL Server Integration Services SSIS, SQL Server Reporting Services SSRS, SQL Server Analysis Services SSAS. Dinesh has migrated IS packages into python using SQLAlchemy, NumPy, Pandas libraries and used machine learning algorithms to predict and generate performance/activity reports. In his previous role as a Python Developer (ML) at Livnsense Technologies, Dinesh was responsible for defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data. He also trained deep learning models, defined evaluation metrics, and tuned hyperparameters primarily done in Python using packages such as NumPy, scikit-learn, pandas, matplotlib, TensorFlow, and PyTorch. Dinesh converted prototyped code into production code, set up a cloud environment to deploy the model, or improved response times and saved bandwidth. He implemented this using an object-oriented programming language (such as Python) and cloud technologies such as AWS, GCP, and Azure. Dinesh holds a B.Tech degree in Information Technology from Panimalar Institute of Technology. He is highly skilled in Data Engineering, SQL, ETL, infra, Python, ML, Pandas, Integration, AWS, Hyperparameter, Deep Learning, Scikit, TensorFlow, PyTorch, Azure, and GCP. With his relevant experience of 5.44 years, Dinesh is a valuable asset to any organization looking to build scalable and robust data infrastructure.