Nicolas is a Data Analyst with five years of experience. He excels in constructing data pipelines using Databricks Lakehouse and is proficient in SQL, Python, Power BI, Snowflake, Looker, and Tableau.

With 14 years of expertise in Business Intelligence and Analytics and an additional 19 years in Information Technology, I specialize in the development and deployment of Data Warehouses, ETL processes, data analysis, and the creation of comprehensive reports and dashboards. My professional career is marked by a commitment to transforming complex data into actionable insights, thereby supporting strategic decision-making and enhancing organizational performance. Significant contributions have been made to various projects through the application of technical skills and extensive knowledge of BI tools.

Continual professional development is a priority, staying abreast of advancements in BI and Analytics technologies and methodologies. This dedication ensures the delivery of innovative, efficient solutions tailored to the evolving needs of the business environment.

Technical proficiencies include:

In Business Intelligence, expertise spans tools like MicroStrategy, Tableau, OBIEE, Oracle Retail Merchandise Analytics (ORMA), Oracle Retail Data Warehouse (ORDW), and Microsoft Analysis Services (Cubes). In Extract, Transform, and Load (ETL), skills encompass Oracle Data Integrator (ODI) and SQL Server Integration Services (SSIS). Proficiency in databases includes working knowledge of Snowflake, Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.

A BI Consultant with over a decade of experience in the data field, holding a robust proficiency in SQL Server, Oracle, PostgreSQL, Python, Power BI, Tableau, Qlik Sense, SAS, Teradata, and SSIS. Presently, skills are being expanded through the study of JavaScript. Proficient in English.

An experienced Senior Data Engineer with expertise in designing and implementing scalable and reliable data systems and pipelines, leveraging a background that includes significant collaboration with Data Science teams to deliver robust insights and solutions. Demonstrates proficiency in Python, SQL, and Big Query, alongside data visualization and reporting tools such as Metabase, Looker Studio, and Power BI. Promoted a data-driven culture using the CRISP-DM methodology to enhance products and processes.

As the founder of a data analytics enterprise, offered innovative solutions in data analytics and sales forecasting utilizing Python, Deta Space, and FastAPI. Expertise encompassed data extraction, advanced analytics, and machine learning algorithms, assisting businesses in making informed decisions, optimizing operational efficiency, and boosting sales. Delivered customized recommendations improving customer loyalty and shopping experience, driven by a passion for creating value and impact through data. Consistently engaged in tackling new challenges and acquiring new skills.

With over six years of experience in the IT sector specializing in business and data analysis, this professional has focused primarily on projects involving Business Intelligence (BI) and Big Data. Key competencies include requirement gathering, screen prototyping, ETL processes, database management and modeling, and dashboard creation. These skills have consistently been leveraged to deliver substantial value to client businesses in the domains of BI and Big Data.

Data Analyst and Data Scientist with a focus on analytical, strategic, adaptive, and innovative approaches. Extensive experience encompasses data manipulation and analysis, data visualization, indicator management, and A/B testing. Dedicated to the fields of Data Science, Analytics, and Business Intelligence. Academic credentials include a technical degree in Electronics from Escola Técnica Pandiá Calógeras, a degree in Mechanical Engineering from Universidade Federal Fluminense, and postgraduate qualifications in Analytics and Business Intelligence from Pontifícia Universidade Católica de Minas Gerais. Additional training in Data Science and Machine Learning has been undertaken through Tera. Demonstrates proficiency in SQL, PySpark, Databricks, Power BI, Tableau, and Excel, alongside advanced English language skills.

A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

The candidate is a seasoned Planning and Control Analyst with extensive experience in data analysis acquired through roles in prominent organizations. Expertise includes the development of automated dashboards and reports employing advanced tools such as Excel (VBA), Power BI, and SQL, with a strong foundation in Business Intelligence methodologies. Proven track record in leading data integration and process automation projects that enhance decision-making efficiency and operational productivity. The candidate's capacity to work under high-pressure environments ensures precision and timely delivery of results. Strong communication skills facilitate the clear presentation of complex data, aligning analytical efforts with strategic business objectives for sustainable growth.

Apache Superset is an open-source data exploration and visualization platform that allows users to create interactive dashboards and reports from a variety of data sources. It provides tools for querying, visualizing, and sharing data insights in a web-based interface, enabling better decision-making through accessible and comprehensive data analysis.

An Apache Superset expert must have strong skills in SQL for querying data, proficiency in Python for custom integrations and scripting, experience with JavaScript and React for front-end customization, and a solid understanding of various database systems such as PostgreSQL, MySQL, and Druid. Familiarity with data visualization principles and dashboard design is also essential.

How to hire a Apache Superset expert

Apache Superset was created in 2015 by Maxime Beauchemin at Airbnb. It was developed to provide a modern, open-source alternative for data exploration and visualization, addressing the need for a more user-friendly and scalable solution compared to existing tools. The project gained traction quickly and became part of the Apache Incubator in 2017, eventually graduating as a top-level Apache project.

About Apache Superset

Strengths of Apache Superset include its open-source nature, extensive visualization capabilities, and integration with a wide range of data sources. Weaknesses involve its steep learning curve for new users and potential performance issues with very large datasets. Competitors include Tableau, Power BI, and Looker.

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About Apache Superset

How to hire a Apache Superset expert

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