Holds a degree in Computer Engineering from PUCPR, with over four years of experience in a Business Operations role specializing in Oracle SQL. Subsequently transitioned to a Business Analyst position within the oil sector, where responsibilities included working with SQL Server, Power BI, MS Azure, and implementing Scrum methodology. Additionally, managed a client portfolio, ensuring efficient Order to Cash process flow through SAP SD.

Nicolas has worked for ten years as a systems engineer in server administration, SRE, and DevOps roles. The last few years have given him the opportunity to work with sophisticated cloud infrastructure, including automation and security.

Yasmin Huvos, a 25-year-old professional from Brazil, is currently a Data Analyst. Her passion for collaborating with diverse individuals and cultures drives her work. She finds motivation in learning from challenges and consistently seeks opportunities for growth and development in her field.

Dashboard Developer and KPI Analyst specializing in the identification of opportunities and the resolution of issues to enhance product and service impact. Proficient in the continuous improvement of existing systems to boost productivity. Experienced in collaborating with cross-functional project stakeholders, comprehending their needs, and aligning expectations across varied domains.

A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.

Lucia is an Industrial engineer with a special interest in operations and data analysis. Lucia led several teams at different production sites, and has over 10 years of experience in Supply Chain & Ops roles.

Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

Elastic Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence. It allows users to create and share dynamic dashboards that display changes in Elasticsearch query results in real-time.

An Elastic Kibana expert must have strong skills in Elasticsearch query language (EQL), proficiency in creating and managing Kibana dashboards, knowledge of data visualization techniques, experience with JSON and REST APIs, and familiarity with scripting languages like JavaScript or Python for advanced customizations.

How to hire a Elastic Kibana expert

Elastic Kibana was created in 2013 by Rashid Khan as an open-source data visualization tool to work with Elasticsearch. It was developed to provide users with an intuitive way to visualize and explore large volumes of log and time-series data stored in Elasticsearch. The goal was to enhance the capabilities of Elasticsearch by adding powerful visual analytics features.

About Elastic Kibana

Strengths of Elastic Kibana include its seamless integration with 

, real-time data visualization, and user-friendly interface. Weaknesses involve a steep learning curve for beginners and limited support for non-Elasticsearch data sources. Competitors include 

Elastic Kibana

Top 5*

Business Intelligence

About Elastic Kibana

How to hire a Elastic Kibana expert

The Best of the Best Optimized for Your Budget