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Daniel Ramos

Data Engineer at Elastacloud

Daniel Ramos has a diverse work experience in the field of data engineering and data science. Daniel started their career at CNPq as a PIBIC Scholarship recipient from August 2018 to September 2019.

Daniel then joined Lanlink Informática in May 2020 as a Data Engineer. In this role, they were responsible for designing, implementing, and deploying data and machine learning solutions using Azure services. Their main activities included designing data storage and data warehouse solutions, creating and deploying machine learning models, and building data pipelines for ETL processes. Daniel utilized various technologies such as Azure Machine Learning, Azure Synapse Analytics, Azure Cognitive Services, Azure Databricks, SQL Database, Microsoft Power BI, Data Factory, Data Lake Store Gen2, Blob Storage, Power Automate, and Azure DevOps.

In 2021, Daniel joined Elastacloud and Elastacloud Brazil as a Data Engineer. Their responsibilities in these roles were similar to their previous position at Lanlink Informática. However, no specific start or end date is provided for these roles.

Daniel Ramos graduated from the Federal University of Ceara in 2021 with a Bachelor's degree in Computer Engineering. Daniel also holds several certifications, including the Microsoft Certified: Security, Compliance, and Identity Fundamentals, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Data Fundamentals, Microsoft Certified: Azure Fundamentals, Compact Course - Japanese, Compact course - Level 8 Advanced, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified Trainer 2021-2022, Toeic Certificate of achievement - gold. Daniel also obtained a CERTIFICAT D’ASSIDUITE ET DE NIVEAU, COURS DE FRANÇAIS - B2 from Lyon Bleu International, although the month and year of obtaining this certification are not specified.

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