Luiz Santana

• Transforming the pharmaceutical logistics data platform, replacing manual processes with automated solutions in the Azure cloud • Developing ETL/ELT pipelines using Azure Data Factory, Data Lake Gen2, and Databricks following the Medallion Architecture • Leveraging data governance via Unity Catalog and CI/CD automation through Azure DevOps • Providing a trusted data platform to enable strategic decision-making in the pharmaceutical logistics industry.

Courses developed on the platform: • Microsoft MTA Database Fundamentals Prep (98-364) • Azure Databases for Beginners • Azure Data Factory for Beginners • Data Modeling (Under development)

• Management of the training platform, including administration and maintenance. • Development of courses and definition of programmatic content. • Conducting specialized courses, such as Azure Big Data, Data Modeling, T-SQL, Azure DevOps for Big Data, Azure Pricing, Azure Data Architecture, Data Governance with Databricks Unity Catalog, Snowflake, Microsoft Fabric for data engineers. • Contributing as an instructor on the Udemy platform, with a current portfolio of three courses. • Platform with over 700 students and 30 courses taught.

• Rapidly recognized as a Technical Leader within one month of joining Dataside, due to successful project management and positive client feedback. • Served as both Technical Leader and Data Architect, guiding the data engineering team in developing and implementing sophisticated data architectures. Assisted with technical issues, managed career goals, oversaw technical development, and allocated team resources for projects. • Demonstrated expertise in utilizing Azure services, including Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Proficient in configuring continuous integration/continuous deployment (CI/CD) pipelines using Azure DevOps, experienced in managing DataOps processes, configuring Databricks Unity Catalog, and knowledgeable in data governance processes. Successfully provisioned over 30 Azure Big Data environments for clients, enhancing data solutions and operational efficiency. • Led internal training sessions on Azure technologies for big data, enhancing team capabilities in cloud-based solutions. • Provided technical and professional mentorship to interns, Junior Engineers, and Mid-Level Engineers, fostering professional growth and enhancing technical skills across the team. • Significantly contributed to the organization's success by actively participating in the pre-sales process, supporting the commercial team in securing Clients I worked: Lojas Renner, Proparts, RedXCarbon, Pet2Pet, Adeste, Appai, Brennand, Camil, Cesari, ELAW, Eletrolux, Fator Seguradora, Fischer Frutas, GoPlan, Lefosse, M.A. Máquinas, Malwee, Santa Helena, WelHome

Working on Bi and Big Data projects in the Azure cloud, with clients from different segments (industry, government, education, health, etc.). Refining the data so that they generate insights from the processed data. Activities: • Support data architects in building and pricing project data architectures • Provisioning of Azure Big Data environments. • Data ingestion: Azure Data Factory, Talend, Pentaho • Data transformation: Azure Data Factory (Data Flow), Azure Databricks • Data Storage: Azure Data Lake, Azure SQL Database, Azure Synapse Analytics (Serverless and Dedicated Pool) • Languages used: SQL, Python (Basic Level) • Creation of technical project documentation

Develop BI, Big Data and Modern Data Warehouse projects in cloud for national and international clients from various segments (industry, government, education, health) with billing of millions or billions, generating insights from the data processed from the BI to decision making. Evaluate and standardize large volumes of data to generate insight. ETL / ELT processes using Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse Analytics and T-SQL. Technical leader in the company's projects, help in the construction of data architectures, activities management, definition of career goals and technical development of the team. • Clients I worked: TecnoBank, Barzel Properties, Heineken, B3 Investimentos

Provide training for students in the discipline of database and T-SQL, for enter the information technology market in the region. More than 60 students have already been prepared to work with Microsoft database technologies such as SQL Server and T-SQL. Technologies: Azure, Scrum, Database Model, SQL, Cloud Tools: SQL Server, Azure SQL Database

Develop BI projects for clients from various segments (industry, government, education, health) with billing of millions, generating insights from the data processed from the BI to decision making. Evaluate and standardize large volumes of data to generate insight. ETL / ELT processes using Pentaho, SSIS, Talend, Azure Data Factory and T-SQL. Implement solutions delivering to the customer the best BI solutions on the market. Technologies: Business Intelligence, Data Modeling, Multimensional Model, ETL, ELT, T-SQL Tools: Pentaho, Talend, Integration Services, SnowFlake, SQL Server, Azure SQL Database, Azure Data Factory. • Clients I worked: Tegma, Grupo Elfa

Applied data engineering to Business Intelligence and Big Data processes using Microsoft Azure technologies. Developed and controlled data processing process with large volume of information (Gigabytes and Terabytes of data). Analyzed data to generate business insights, improving internal processes and reducing waste in logistics systems. Performance in Ambev projects (National and International), Kroton Group, Bauducco, EDP Energia. Technologies: Azure, AWS, Business Intelligence, Big Data, ETL, ELT, T-SQL, Blog Storage Tools: Talend, Integration Services SQL Server, Azure SQL Database, Azure Data Factory, Azure SQL DW, Azure DevOps: Boards

Led and taught the disciplines of analysis and design of software and database / T-SQL, enabling more than 200 students of the institution to join the information technology market in the region to work with Microsoft database technologies such as SQL Server and T-SQL. Technologies: Scrum, XP, Database Model, SQL, requirements analysis Tools: SQL Server, Astah