Adithya Naini — AI Researcher

• Having 14+Yrs.of professional experience specializing in working big data, azure, data and analytics platforms. • Hands on experience in working on Azure Fabric, Synapse Analytics, Lakehouse, Databricks, Azure SQL, GCP, Azure Data warehouse, Azure Data Factory & Azure Data Lake, Machine Learning and Generative AI. • Designed and implemented scalable data ingestion pipelines using Azure Data Explorer, significantly improving data processing efficiency. • Successfully delivered couple of initiatives (Implementation & Development) on Big Data Analytics and large data processing using Azure & GCP ecosystem. • Hands-on experience on Unified Data Analytics with Databricks, DLT Tables , Delta Lake with Python, Delta Lake with Spark SQL • Experience in deploying the solutions using Azure Devops using CICD Process • Experience in working Microsoft Azure cloud platform in components of OneLake, Lakehouse and Azure SQL dedicated pool and building data warehouse for analytics. • Knowledge of reporting tools Tableau and PowerBI space. • Extensive experience in Data Modeling, Database Design, Data Architect & Systems Architect. • Experienced in designing Relational Modeling, Dimensional Modeling, ER Modeling, Star Schema / Snowflake Schema using SSAS Multidimensional and Tabular Model. • Strong expertise in SQL Server Performance Tuning on large databases. Proficient in handling large scale Data Warehouse with Terabytes of data. • Expertise in creating Perspectives, Partitions and Design Aggregations in cubes using SSAS. • Analyse, design, and build Modern data solutions using Azure PaaS service to support visualization of data. • Worked on migration of data from On-prem SQL Server to Cloud databases (Azure Synapse Analytics(DW) & Azure SQL DB, Azure snowflake) • Built analytics tools that utilize the Azure Synapse pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Have good problem solving and analytical skills. Highly motivated professional, Team Player and the ability to effectively Work with, communicate and mentor people. • Strong business knowledge in Microsoft 365 products, Finance, Customer support, Health care, Telecom, and Animal & Livestock domains with Extensive knowledge in financial reporting environment and Healthcare analytics. • Proficient in development methodologies such as Agile, Scrum and Waterfall.

Stackforce AI infers this person is a Big Data and Cloud Analytics expert with a focus on Azure and GCP technologies.

Location: Little Elm, Texas, United States

Experience: 9 yrs