As a BI Specialist, I have extensive experience managing data processes and visualization. My role involves gathering technical requirements, coordinating with partner areas, and delivering Data and Analytics (D&A) projects for global clients and internal departments such as marketing and operations. My daily tasks include interpreting, documenting, optimizing, and implementing processes to improve the BI ecosystem continuously.I have expertise in developing and enhancing ETL processes in Oracle (PL/SQL) and Postgres databases, ensuring data efficiency and integrity. I work with Microsoft Power BI (DAX) and SQL Server Integration Services (SSIS) to gather, define, and implement BI requirements. I monitor and improve tabular models in Microsoft SQL Server Analysis Services (SSAS) and extract data using SQL queries and reports in Microsoft SQL Server Reporting Services (SSRS), maintaining and creating new analytical .rdl reports in Visual Studio.My responsibilities include scheduling report availability and using Task Manager for file transfer via FTP. Additionally, I train and assist team members, fostering continuous skill development. Recently, I have incorporated Python to automate complex ETL processes and data analysis, ensuring compatibility and optimization within our current ecosystem. I develop and maintain end-to-end processes, from data extraction to visualization, integrating analyses into interactive dashboards in Power BI, and providing deeper and actionable insights for stakeholders.I also utilize Jira for demand and task management, implementing the Kanban methodology to ensure efficient workflow and project tracking. This approach allows for continuous delivery and improvement, aligning with agile project management principles.

As a Senior Data Engineer, I lead the validation, optimization, and automation of data ingestion and processing pipelines across batch and streaming architectures. With over three years of hands-on experience in Microsoft Azure, I leverage services like Azure Data Factory, Azure Databricks, AKS (Azure Kubernetes), CosmosDB, and Blob Storage to build scalable and efficient data workflows. My expertise includes managing virtual machines (VMs), storage accounts, and resource groups to ensure robust and flexible cloud infrastructure.I have extensive experience in end-to-end project lifecycle management, from refining client requirements to overseeing execution. I use Azure DevOps for tracking project progress and employ agile methodologies such as Scrum and Kanban to foster team collaboration and timely delivery. My proficiency in Databricks and Apache Spark enables the creation and optimization of data pipelines, handling large-scale data processing tasks with high performance and reliability.Additionally, I am skilled in both batch and streaming data processing, designing and implementing pipelines utilizing Kubernetes for containerized workflows. I bring four years of experience working with PySpark and Python for developing, debugging, and maintaining complex data transformation code. In on-premises environments, I have worked with platforms like Cloudera, including Hadoop, HBase, and Hive, to manage big data solutions.I also incorporate DevOps best practices, using Jenkins for continuous integration and delivery (CI/CD), along with Git for version control. My experience extends to workflow orchestration tools like Apache Airflow and Control-M, ensuring efficient scheduling and execution of data processes. Additionally, while I don't code in Java, I am familiar with object-oriented programming concepts, which aids in interpreting and working alongside Java-based systems.

In my role as a Senior Data Engineer, I specialize in managing structured and unstructured databases, designing and implementing collection models to improve credit recovery processes. With over three years of experience in Microsoft Azure services, including Azure Data Factory, Databricks, AKS, and CosmosDB, I build scalable data workflows that drive strategic and financial gains. I leverage statistical techniques to analyze customer behavior and financial performance, optimizing decision-making.I lead automated data extraction, processing, and cleansing pipelines using PySpark, Python, and Kedro, handling both batch and streaming data via Kubernetes. My expertise spans cloud and on-premises environments, such as Cloudera with Hadoop and Hive, to ensure efficient large-scale data management.Additionally, I create interactive reports for management and executives using BI tools like Power BI, QlikView, Tableau, and Azure. My work has supported clients like Via Varejo, Itaú Unibanco, and Bradesco, enhancing their data solutions through Python and advanced analytics.I also optimize telephony cost indicators and communication strategies, developing logistic regression models for precise customer engagement. My leadership in agile project management, combined with DevOps practices using Jenkins and Git, ensures efficient project delivery. I collaborate with IT and data teams to implement cutting-edge tools, services, and microservices, continuously improving performance and fostering team success.

In my previous role as a Business Intelligence Consultant, I specialized in developing and optimizing BI solutions using SQL Server, QlikView, and Qlik Sense. I designed and implemented key performance indicators (KPIs) and interactive dashboards to deliver actionable insights. I managed the migration and implementation of QlikView tools to version 17, ensuring smooth transitions and system stability.My experience also includes integrating Mashups to create customized, interactive user interfaces, enhancing data visualization and user engagement. I worked with Data Lakes to consolidate and analyze large volumes of structured and unstructured data, facilitating comprehensive data exploration and insights.I automated processes using Qlik Management Console (QMC) and NPrinting, streamlining workflows and ensuring data accuracy. I was actively involved in Agile squads, employing Kanban and Scrum methodologies to improve project management, enhance team collaboration, and deliver high-quality solutions to clients. My focus on continuous improvement and best practices ensured effective BI solutions and client satisfaction.

Experience requirements gathering, data modeling using PL / SQL and SQL SERVER, Dashboard development and market studies, performance, customer experience, NPS among others using Power BI, proficiency in DAX and M.Adding Shell Script played a key role in automating and optimizing operational tasks. Through carefully crafted scripts, I automated the scheduling of ETL jobs, the cleaning of caches and the maintenance of databases, resulting in a more stable and efficient environment. In addition, I took advantage of the scripts to make regular adjustments to the systems, guaranteeing a high level of performance on an ongoing basis.Working together with the campaign team, measuring them and their effectiveness.

I have extensive experience in developing indicators for decision-making, performance measurement, profitability, and return of mass action tools such as SMS, Boletagem, and email. These tools are generated from extracted databases and modeled from queries developed in SQL, MySQL, ERP, and PostgreSQL. I am also proficient in structuring presentations both in PowerPoint and on the platforms: QlikSense, Qlikview, and Power BI. I can create dynamic tables and graphs to present results effectively. My expertise lies in planning, distributing and segmenting the customer base to deliver a qualitative and quantitative strategy to better capture the target audience. Furthermore, I am skilled in the creation of Dashboards of financial, operational and budgetary results.