Seasoned analyst developer with specialized proficiency in RAD Studio/Delphi programming across multiple versions including Delphi 5, 6, 7, 2006, 10 Seattle, 10.2 Tokyo, and 10.3 Rio. With over two decades of expertise in developing and maintaining ERP systems for commerce, industry, and retail sectors, this individual is highly adept in payroll, accounting, and financial systems management. A recent project focused on creating a management system for medical test requisitions in the health sector showcased their capabilities in system development and API integration to enable cross-platform connectivity.

The developer demonstrates a strong understanding of business rules and requirement analysis, and holds intermediate skills in data analysis for report generation across various databases such as ORACLE, SQL SERVER, and FIREBIRD, including the use of procedures, functions, triggers, and views. Their experience in fiscal areas extends to handling NFe (Nota Fiscal Eletrônica), SPED (Public Digital Bookkeeping System), and eSocial.

Proficiency in version control systems such as Git, GitHub, SVN, and SVS is coupled with a solid understanding of Linux and Docker environments. Their expertise also includes senior-level capabilities in automation systems and back-office management for supermarkets utilizing Oracle databases, as well as adeptness with Ummense, a tool for team, project, and process management.

Back-end developer with a decade of experience in web and mobile development. Demonstrated capability as a Product Owner on projects serving high-profile clients, and developed applications that accommodate over five million daily users. Possesses extensive knowledge in design patterns, system architecture, and project management. Professional background includes roles as Project Coordinator and Team Leader.

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Data Scientist, Web and Mobile Developer, Systems Analyst, and IT Manager with a decade of experience in diverse development areas and technologies. Demonstrates expertise in Python, .Net Core, and PHP.

Objective: To engage with an organization that prioritizes employee empowerment and fosters motivation through meaningful responsibilities.

A professional journey characterized by a diverse range of technical skills acquired through both self-directed learning and formal education, responding effectively to complex and evolving demands across various sectors. Specialization includes system development, data pipeline creation, advanced database management, and analysis, showcasing notable adaptability and innovation in addressing professional challenges.

In Data Analysis and Data Engineering, expertise encompasses the monitoring and maintenance of data pipelines using Python and PySpark within ETL processes. This includes validating diverse data sets, ensuring information integrity, and analyzing various data attributes such as columns, rows, data types, and formats. Development of integrated data architecture spans from collection to processing, utilizing tools like Airflow, Jupyter Notebook, Portainer, Postgres, MySQL, and enabling comprehensive analysis through visualization tools such as Metabase, Excel, and Power BI. Additional experience includes creating data extraction bots using technologies like Selenium, Java, and Excel VBA, coupled with a robust knowledge of SQL data modeling and structuring, demonstrating versatility in information analysis and manipulation.

Web Development capabilities include proficiency in HTML, JavaScript, PHP, MySQL, and Postgres, with substantial experience in developing and managing web systems and websites along with their hosting and domain management.

In IT Infrastructure Management, there is expertise in managing Dell servers and VMware ESXi environments, overseeing complex on-premises infrastructure comprising multiple Docker containers running on Linux CentOS. These containers support a wide variety of services, with critical proficiency in ensuring secure and uninterrupted system operations through rigorous backup and maintenance practices utilizing technologies such as Acronis, TrueNAS, and Kerio firewall with VPN.

Additionally, extensive experience in providing comprehensive technical support and maintenance covers general computer upkeep, broadband, telephony, and TV installations and repairs in both corporate and freelance contexts. This breadth of experience underscores an ability to offer effective solutions across diverse technology domains, ensuring user satisfaction through ongoing support.

The overall career is marked by a blend of technical expertise, project leadership, and a collaborative approach, all sustained by a continuous pursuit of knowledge.

Graduate in Systems Analysis and Development with extensive experience in project development utilizing HTML, CSS, JavaScript, React JS, Angular, Node.js, and TypeScript. Demonstrates a strong commitment to continuous learning and skill enhancement. Ready to collaborate on new initiatives, share expertise, and stay informed on new tools and emerging technologies.

Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.

Amazon DocumentDB is a managed NoSQL database service designed to be compatible with MongoDB. It allows for the storage, querying, and indexing of JSON data, providing scalability, high availability, and performance for document-based applications.

An Amazon DocumentDB expert must have skills in NoSQL database management, proficiency in MongoDB, knowledge of JSON data modeling, experience with AWS services, understanding of database scaling and performance optimization, and expertise in backup and recovery processes.

How to hire a Amazon Documentdb expert

Amazon DocumentDB was launched by Amazon Web Services (AWS) in January 2019. It was created to provide a scalable, fully managed document database service that is compatible with MongoDB, addressing the need for high performance and availability in handling JSON data for modern applications.

About Amazon Documentdb

Strengths of Amazon DocumentDB include its compatibility with MongoDB, scalability, high availability, and managed service features. Weaknesses involve potential higher costs and limited support for certain MongoDB features. Competitors include MongoDB Atlas, Google Cloud Firestore, and Azure Cosmos DB.

Amazon Documentdb

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About Amazon Documentdb

How to hire a Amazon Documentdb expert

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