Airflow

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira.

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

Mathematics student with a burgeoning focus on data science and machine learning. Developed expertise in creating non-linear optimization algorithms utilizing Fortran. Seeks to leverage mathematical acumen in computing to enhance process efficiency and optimization.

Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.

Technology professional with over 15 years of experience, initially specializing in infrastructure, possessing extensive knowledge in networks, servers, technology management, and support team leadership. In recent years, a focus has shifted towards data culture, intensifying expertise in engineering, data analysis, and cloud services. This includes experience in system integrations, ETL routines, development of data pipelines, and the management of both Data Warehouse and Data Lake systems, coupled with a strong business acumen.

Possessing over 15 years of experience in Information Technology, expertise encompasses data engineering, business intelligence, data warehousing, requirements analysis, and systems development.

A career in software development was chosen to engage in the enjoyment of solving challenges and witnessing the utilization of created products. Over a span exceeding 15 years, numerous projects have been developed from inception to final service, and extensive professional instruction has been provided. Recent career focus has been on specializing in refactoring legacy code and transitioning to microservices, employing PHP, Laravel, and MariaDB, alongside the application of API RestFull principles and adherence to S.O.L.I.D. principles. The work adheres to Susan J. Fowler's suggested eight principles.

Project management is conducted through code versioning with GIT and the agile Scrum methodology, incorporating sprint and ticket management via the Jira tool. Comprehensive knowledge of PHP's evolution supports the ability to navigate new languages or frameworks, ensuring solutions are identified with the most efficient tools available. Personal projects are undertaken in Node.js and React to achieve proficiency in these technologies. Belief in focus, proactivity, organization, and teamwork underscores the philosophy that a developer should be a value-adding element to the final product, rather than merely a procedural tool.

Senior Data Analyst with over four years of experience, demonstrating expertise in utilizing Airflow, ETL processes, Data Warehousing, and Automation. Proficient in Power BI for creating reports and facilitating automatic updates through SQL/database integration. Advanced capabilities in SQL allow for the development of complex views, calculations, and KPI metrics. Skilled in Python for Exploratory Data Analysis (EDA), Machine Learning, Automation, API Integration, and Web Scraping.

Previously concentrated on analyzing logistics performance and metrics within a major petroleum company. Strong engineering background with a deep passion for data analysis, particularly in mining, cleaning, and processing data.

Currently responsible for the development of all dashboards in Power BI at the present organization, involving the extraction and compilation of data through SQL and the creation of visualizations that enable online updates. The role also includes the development of Customer Success KPI metrics in SQL and automation of email functions using Python, such as logging into the SQL database and scheduling email sends based on customer preferences.

Additionally, offers consultancy services teaching Python, Power BI, and SQL, with a public profile available for reference.

A Developer V with a background in Physics from the Federal Rural University of Pernambuco, specializing in logical reasoning, problem-solving, and data analysis. Proficient as a Data Engineer and FullStack Developer, utilizing Python, Vue, and other technologies to design innovative and automated client solutions. Project experience includes developing financial dashboards, integrating RESTful APIs for data delivery, and employing Google Cloud, DialogFlow, and AI NLP for chatbots. Additionally, serves as a Java and Spring Boot instructor and technical leader for agile teams, recognized for high curiosity and adaptability in embracing new technological challenges and projects.