DeltaDNA

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.

Bachelor of Information Technology from UFRN with a passion for continuous learning and a focus on data analysis. Experience includes data analysis, Power BI, Python, and SQL. Recognized for organizational skills, attention to detail, and commitment to high-quality work.

Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.

Data Analyst with extensive expertise in managing and leveraging substantial business data volumes. Proficient in data analysis and adept at programming in Python and SQL. Skilled in employing essential data visualization techniques and tools critical for enhancing an organization's business intelligence.

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.

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.

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.

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.