Daniel Kakazu

Daniel Kakazu has a diverse work experience in the field of data engineering and business intelligence. Daniel started their career at BCS as an Analyst of Systems/Implementation, where they provided support and analysis for legal offices and law firms. Daniel then moved on to TOTVS as an Implementation/Systems Analyst, working with various clients and implementing systems in their legal departments.

In 2011, Daniel worked as an Analyst of Support Development at MSC Mediterranean Shipping Co. S.A., where they provided system support for the internal legal team and developed customizations in the database. Daniel also analyzed and corrected errors in the system and created reports using Crystal Reports and SQL Server Reporting Services.

From 2012 to 2014, Daniel worked at GRADDA Business Performance Solutions as an Implementation/Business Intelligence Analyst. Daniel was responsible for the implementation of ETL routines and the creation of a data warehouse for the Sollus cost system. Daniel worked with clients such as Grupo Libra, Grupo EcoPorto, and Confederação Nacional das Indústrias - CNI.

At GfK, Daniel worked as an Analyst of Data Production, where they monitored and supported internal solutions and products. Daniel also developed automated routines and database reports and collaborated with international teams and suppliers.

From 2019 to 2019, Daniel worked as an ETL Analyst, although the company name was not provided.

Most recently, Daniel has been working at VIDI as a Business Intelligence Analyst. Daniel has been involved in the development of automated routines, ETL maps, and database reports for various clients, including O Boticário, Eudora, Flora, and Johnson & Johnson. Daniel has also been responsible for data treatment, data cleansing, and the creation and maintenance of ETL routines using Pentaho Kettle and Integration Services. Additionally, they have automated processes through scripting.

In 2021, Daniel joined Involves as a Data Engineer, where they continue to utilize their skills in data engineering and management.

Daniel Kakazu has a diverse education history. Daniel obtained a Master of Business Administration (MBA) in Machine Learning with a focus on Artificial Intelligence from IGTI in 2021. Before that, they pursued a Bachelor's degree in Computer Science from Centro Universitário FAM, specializing in Computer Science and Informatics from 2016 to 2020.

In 2011, Daniel completed an exchange program at the International Language Schools of Canada, where they focused on learning English and French. In 2010, they studied Technology in Database at Uninove - Universidade Nove de Julho, which further developed their skills in Information Technology.

Additionally, Daniel has obtained several certifications to enhance their knowledge and skills. Daniel completed courses such as "AWS Cloud Practitioner Essentials Day" from Ka Solution, "Introdução ao Python" from Kenzie Academy Brasil, "Introdução à Ciência de Dados: Conceitos Básicos" from LinkedIn, "Workshop AZ900 Microsoft Azure Fundamentals" and "Workshop Azure Data Fundamentals" from Green Tecnologia (treinamento e consultoria), "Bootcamp Desenvolvedor Python," "Workshop Data Universe," and "Bootcamp Full Stack" from Instituto de Gestão e Tecnologia da Informação, and "C# e Orientação a Objetos" from Caelum.

Based on the provided information, it can be concluded that Daniel Kakazu has a strong background in computer science and has acquired additional knowledge in areas such as machine learning, artificial intelligence, cloud computing, and data science through their education and certifications.