A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.

Marcos is a Data Analyst with nine years of experience. He specializes in SQL and Power BI and is proficient in Python, Tableau, and ETL processes. Marcos is talented at creating impactful dashboards and ensuring alignment with business objectives

With a decade of experience dedicated to the mapping of areas and processes, this professional has demonstrated a strong commitment to driving improvements and efficiencies within organizations. Focused on achieving significant cost reductions through waste minimization, operational optimization, and the implementation of necessary cultural changes, the candidate employs insightful analysis and meticulous mapping techniques to identify improvement opportunities. Currently serving as a Data Analyst at a virtual assistant firm, expertise includes the construction and maintenance of customized dashboards, KPI development, and leadership in Business Intelligence, all aimed at enhancing decision-making processes. Educational qualifications include a postgraduate degree in Big Data Management and Business Analytics, complementing a foundation in Systems Analysis and Development.

Data Analyst with a degree in Data Analysis, currently pursuing an MBA focused on Big Data. Professional experience since 2018 encompasses system migration, master data management, data management, and logistics and business metrics.

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.

Professional with extensive experience in Performance, Strategy, Business Excellence, and Data across diverse sectors, including national and multinational companies, startups, and NGOs. Specialized in overseeing strategic and multifunctional projects through various stages, from data collection and processing to reporting and the creation of intelligent dashboards. Expertise includes process management and governance, PowerBI, and Digital Transformation Project Management. Proficient in SQL, T-SQL, SSIS, SSAS, Apache Spark (Databricks), IBM Cognos, Tableau, and Azure, with substantial experience in GCP cloud services, Azure, and AWS. Competent in employing Airflow and adept in both agile and traditional project management methodologies. Experienced in developing data ingestion APIs utilizing REST, SOAP, HTTP, FTP, and SFTP. Proven track record as a team leader and manager, with a notable history of executing Machine Learning projects using Python.

Gonzalo is a data analyst with six years of experience. Proficient in Python, SQL, Microsoft tools, Databricks, and MySQL, Gonzalo is an innovative and meticulous data scientist specializing in web marketing analytics.

Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.

Arcadia Data is a business intelligence and analytics platform that provides visual analytics and data discovery directly on big data platforms, such as Hadoop and cloud-based data lakes. It enables users to create interactive dashboards, perform real-time data exploration, and gain insights without the need for data extraction or movement.

An Arcadia Data expert must have skills in SQL, big data platforms like Hadoop and cloud-based data lakes, and experience with data visualization tools. Proficiency in data modeling, real-time analytics, and understanding of distributed computing environments is also essential.

How to hire a Arcadia Data expert

Arcadia Data was founded in 2012 with the goal of simplifying big data analytics and providing a unified visual analytics platform that could operate directly on large-scale data environments like Hadoop. The platform aimed to democratize access to big data insights by allowing users to create interactive dashboards and perform real-time data exploration without the need for complex data movement or extraction processes.

About Arcadia Data

Strengths of Arcadia Data included its ability to perform real-time analytics directly on big data platforms, user-friendly interface, and scalability. Weaknesses involved limited market penetration and competition from more established BI tools. Competitors included 

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About Arcadia Data

How to hire a Arcadia Data expert

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