22-25 April 2026 
Carlos Contreras
Since 2018, Carlos has been working as a Big Data & Generative AI Architect at Amazon Web Services, in London. Before Amazon, Carlos worked in the UK for a startup as Lead of Data; and for Online Banking (WorldPay) as a Data Warehouse architect. Before moving to England, Carlos worked for 10 years in Spain as a Data consultant for companies like General Electric and Inditex (Zara, Massimo Dutti, Bershka, Oysho) at their global headquarters in La Coruña.
Before living in Spain, Carlos worked in Mexico City and the United States, for the Mexican Stock Exchange and General Electric in New York.
Carlos Contreras's Sessions
How Formula 1 automated their SQL Server Database Ops & Health Checks on AWS, using AI AgentsSQLBits 2026
F1 built a purpose-built root-cause analysis (RCA) assistant, to help IT engineers rapidly troubleshoot live race incidents, -covering network to API failures - reducing manual effort and accelerating root cause resolution across telemetry and F1 TV
Natural Language to TSQL: Mininimizing LLM Hallucinations in SQL Server database queries on AWSSQLBits 2025
Explore techniques to transform natural language into SQL Server queries, using Generative AI on AWS. Learn strategies to minimize LLM hallucinations and improve query accuracy for database interactions, with a low-code approach.
How Formula 1 automated their SQL Server Database Ops & Health Checks on AWS, using AI AgentsSQLBits 2025
In this session, we show you how F1 created an AI-powered purpose-built root cause analysis (RCA) assistant, to empower users such as operations engineers, software developers, and network engineers to troubleshoot issues, narrow down on the root cause, and significantly reduce the manual intervention required to fix recurrent issues during and after live events.
How Formula 1 automated their SQL Server Database Ops & Health Checks on AWS, using AI AgentsSQLBits 2026
F1 built a purpose-built root-cause analysis (RCA) assistant, to help IT engineers rapidly troubleshoot live race incidents, -covering network to API failures - reducing manual effort and accelerating root cause resolution across telemetry and F1 TV
Natural Language to TSQL: Mininimizing LLM Hallucinations in SQL Server database queries on AWSSQLBits 2025
Explore techniques to transform natural language into SQL Server queries, using Generative AI on AWS. Learn strategies to minimize LLM hallucinations and improve query accuracy for database interactions, with a low-code approach.
How Formula 1 automated their SQL Server Database Ops & Health Checks on AWS, using AI AgentsSQLBits 2025
In this session, we show you how F1 created an AI-powered purpose-built root cause analysis (RCA) assistant, to empower users such as operations engineers, software developers, and network engineers to troubleshoot issues, narrow down on the root cause, and significantly reduce the manual intervention required to fix recurrent issues during and after live events.