With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

An experienced professional in business analysis and renewable energy projects excels at leading multifunctional teams and implementing data-driven solutions. Specializing in agile methodologies, project management, and advanced analysis, notable proficiencies include effective team leadership and timely project delivery through the utilization of Agile and Scrum methodologies. The professional demonstrates expertise in data analysis, machine learning, and deep learning algorithms using platforms such as TensorFlow and PyTorch, as well as advanced data modeling, processing, and visualization techniques. Additionally, adeptness in data visualization is showcased through the proficient use of tools like Microsoft Power BI, Tableau, and Streamlit to effectively communicate insights. Skills in cloud computing encompass a broad knowledge of AWS, Azure, Google Cloud, and IBM Watson, which are employed to develop scalable and secure solutions. Fluency in both English and Portuguese is also noted.

A seasoned Data Engineer/Architect with 15 years of IT experience, including a decade in Business Intelligence (BI), Data Analytics, and Data Engineering. Educational background includes a degree in Information Systems from Anhembi Morumbi University and a postgraduate degree in Big Data (Data Science) from FIAP. Currently positioned as a Senior Data Engineer/Specialist, responsible for leading technical project aspects focused on Data & Analytics, Data Migration, Data Governance, and BI. Committed to delivering efficient, scalable, and reusable solutions adhering to industry best practices, facilitating companies in achieving goals and deriving insights through reliable data analysis, key performance indicators, and business-aligned metrics.

Proficiency encompasses over ten years in Data Analytics and ETL processes, comprehensive expertise in relational databases, and eight years with BI tools. Possesses over four years of experience in data engineering and cloud data platforms, with advanced capabilities in Spark and Python, and significant experience in non-relational databases, CI/CD tools, and IaaS platforms. Well-versed in AWS and Azure services for Big Data and Data Analytics.

Technological expertise covers a broad range of tools and platforms, including Alteryx, SSIS, SQL Server, Oracle, Hadoop, Spark (Python), Apache NiFi, Kafka, Airflow, and Microsoft Azure services like Data Lake Storage, Functions, and Synapse Analytics. Competent in AWS services including Athena, DynamoDB, EC2, EMR, Glue, IAM, Kinesis, Lambda, RDS, Redshift, SDLF, SQS, S3, and VPC. Proficient with BI tools such as QlikView, PowerBI, and Tableau, and IaaS solutions like Terraform. Experienced with CI/CD systems including GitHub and Azure DevOps. Dedicated to aiding organizations in improved data governance and fostering a culture that drives innovation through informed decision-making processes, ensuring secure storage and transportation of information.

Data Specialist with expertise in extracting valuable insights from complex datasets and transforming this data into dashboards to assist in strategic decision-making. Responsibilities include contributing to the development of new products, setting operational goals, and enhancing production efficiency. Additionally, duties involve conducting studies on projections and market competitiveness.

A skilled developer with a passion for creativity and storytelling, this candidate excels in collaborative environments and enhances team dynamics. Holding a degree in Digital Games, they are currently pursuing specialization in game and film scripting while expanding their knowledge in Full Stack Web Development. Proficient in both frontend and backend technologies, the candidate demonstrates expertise in REACT, HTML, JavaScript, Python, REACT Native, CSS, MongoDB, SQL, Tableau, and more, along with familiarity in GIT, GitHub, Scrum, and Agile methodologies. Their professional experience includes a role as a Data Analyst, where they acted as a Tableau developer and server administrator, integrating SQL systems with Tableau for national-scale projects in Brazil and Peru, as well as prior experience in sales support and system registration in various industries.

A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.

Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.

Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.

Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

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.

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

Yellowfin BI is a business intelligence and analytics platform that enables organizations to create, manage, and share reports and dashboards. It provides tools for data visualization, data discovery, and collaborative decision-making, helping businesses gain insights from their data to drive informed decisions.

A Yellowfin BI expert must have skills in data visualization, report creation, and dashboard design. Proficiency in SQL for querying databases is essential. Familiarity with data integration and ETL processes is important. Knowledge of Yellowfin's scripting and API functionalities can enhance customization and automation capabilities.

How to hire a Yellowfin Bi expert

Yellowfin BI was created in 2003 to address the need for a user-friendly business intelligence and analytics platform. It aimed to simplify data analysis and reporting processes, making it accessible for non-technical users while providing robust tools for data visualization and collaboration.

About Yellowfin Bi

Strengths of Yellowfin BI include its user-friendly interface, strong data visualization capabilities, and collaborative features. Weaknesses may involve limited advanced analytics compared to some competitors and potential performance issues with very large datasets. Competitors include 

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