Naresh Thati
About Naresh Thati
Naresh Thati is a Data Architect and Engineering Lead at General Atomics in San Diego, California, with extensive experience in data architecture and engineering across various companies, including T-Mobile and Microsoft.
Work at General Atomics
Naresh Thati has been serving as a Data Architect/Engineering Lead at General Atomics since 2021. In this role, he focuses on designing and implementing data architectures that enhance data management and analytics capabilities. His work involves developing monitoring and alerting systems for data ingestion jobs utilizing Azure Log Analytics. He also defines Role-Based Access Control (RBAC) processes for managing data in SQL databases and Azure Data Lake Storage (ADLS).
Previous Experience at T-Mobile
Before joining General Atomics, Naresh Thati worked at T-Mobile from 2019 to 2021 as an Analytics & Insights - TPM, BI and Data Architect/Engineering Lead. His responsibilities included overseeing data architecture and analytics initiatives, contributing to the company's data-driven decision-making processes.
Career at Microsoft
Naresh Thati has an extensive history with Microsoft, where he held various roles from 2004 to 2019. His positions included Technical Program Manager for Azure Networking Automations and Support, Incident Cloud Ops Reliability Engineering (ICORE) TPM, and Dev-ops Lead. He contributed to multiple projects, including the development of metadata-driven Synapse Analytics pipelines and the integration of Synapse workspace with GitHub Enterprise.
Educational Background
Naresh Thati studied Electronics and Communications Engineering, earning a Bachelor of Engineering (B.E) from Osmania University. He furthered his education at Vasavi College of Engineering, where he also achieved a B.E in Electronics and Communications Engineering. His academic background supports his expertise in data architecture and engineering.
Technical Skills and Contributions
Naresh Thati has developed various data solutions, including data ingestion pipelines for SAP and Oracle databases. He designed Azure Data Lake Storage (ADLS) architecture to facilitate maintenance and historical data reference. His work includes creating curated datasets for affiliates using serverless SQL pools and Data Flows, showcasing his proficiency in data engineering.