Management of the entire project domain is conducted by utilizing expertise to elevate the performance of teams, including developers, designers, product owners, and support staff. This is achieved through the establishment of effective processes, motivation strategies, and strategic decision-making. Additionally, performance data analysis is conducted to assess the department's efficiency, project progress, and customer satisfaction. Proficiency in multiple languages enables support for international clients.

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.

A Data Analyst endowed with a sharp focus on deriving valuable insights and addressing business challenges to augment organizational value. Possesses expertise in leveraging Excel and Google Sheets to increase efficiency in statistical analysis. Demonstrates proficiency in SQL, Python, and R for gathering and structuring extensive datasets, coupled with adeptness in employing Tableau, Power BI, and Looker Studio for effective data visualization.

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 dual citizen of Portugal and Brazil, possessing six years of professional experience as a computer engineer in the domain of business intelligence. Expertise includes the development of business intelligence solutions, dashboard creation, data manipulation, and system integrations, with a keen analytical approach and a passion for data.

Academic credentials include a Bachelor's degree in Computer Engineering from Metodista University São Paulo (2018) and a Postgraduate degree in Data Science with a focus on Big Data Analytics from Mackenzie University São Paulo (2020). Professional certifications encompass Tableau Specialist (ID 999441) and Google Analytics (ID 53844274). Proficient in Power BI, Tableau, and Google Data Studio, with a working knowledge of QlikView, QlikSense, and SpotFire. Achieved multiple Business Intelligence badges from Tableau, namely Tableau Analyst, Developer, Author, Consumer, Data Scientist, Designer, and Executive Sponsor.

Proficient in advanced English, with ongoing coursework to further language skills. General competencies cover system engineering, documentation, electronic devices, computer networks, software architecture, and calculus. Extensive experience with ERP systems, data-driven decision-making, programming logic, MIS, UML, business intelligence requirements gathering, data mining, statistical analysis, data strategy, data collection, big data processing, and a range of analytical tools, including Microsoft Excel, Tableau Desktop, Google Data Studio, Qlik, Tableau Prep, Talend, Pentaho Data Integration, Looker, Power Query, and Tableau Public.

Database expertise includes MySQL, Oracle 11g/12g, SQL Server 2008/2016, HP Vertica, Amazon Redshift (AWS), Amazon Athena, Hadoop, Azure, and Databricks.

Data professional with extensive experience in participating in diverse data projects. Expertise includes Business Intelligence, KPI tracking, dashboard creation, and the development of metrics for monitoring newly developed products. Competencies include managing the entire product lifecycle from initial conception, focusing on data collection and availability, to the creation and visualization of metrics for daily monitoring.

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.

Professional with six years of experience in Human Resources, encompassing roles in multinational companies across various sectors, including Retail, Wellness, and Finance. Held positions as an HR Business Partner and in Senior People Analytics, focusing on supporting HR leaders in data collection and analysis to inform business decisions and solutions.

Possesses extensive expertise in leveraging data-driven insights to formulate HR strategies, automate processes, enhance employee engagement, and optimize workforce performance through advanced analytics tools such as BI, Excel, and Python. Adept at utilizing these tools to address complex HR challenges.

A passionate advocate for fostering a data-informed and data-driven culture, with a commitment to having a positive organizational impact by standardizing descriptive, quantitative, and predictive analysis to support leadership.

Clicdata is a cloud-based business intelligence platform that allows users to connect, visualize, and analyze their data through customizable dashboards and reports. It integrates with various data sources, enabling real-time data updates and insights for better decision-making.

A Clicdata expert must have skills in data integration, SQL, dashboard creation, data visualization, and proficiency with various data sources such as databases, cloud services, and APIs. They should also be adept at using Clicdata's features for real-time data updates and reporting.

How to hire a Clicdata expert

Clicdata was created in 2008 to provide businesses with a comprehensive solution for data visualization and analysis. It evolved to offer cloud-based capabilities, enabling users to connect multiple data sources and generate real-time dashboards and reports for informed decision-making.

About Clicdata

Strengths of Clicdata include its user-friendly interface, extensive data integration options, and real-time dashboard capabilities. Weaknesses involve limited advanced analytics features and potential performance issues with large datasets. Competitors include 

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About Clicdata

How to hire a Clicdata expert

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