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Experienced web developer specializing in marketplace and healthcare applications, with a current focus on financial sector development utilizing Java. Demonstrates solid proficiency in programming logic, data structures, Object-Oriented Programming (OOP), and JavaScript. Exhibits a keen interest in application scalability, infrastructure, best development practices, Test-Driven Development (TDD), and Behavior-Driven Development (BDD).

A mid-level Back-end Developer with a Bachelor's degree in Computer Science completed in 2020 and currently pursuing a Postgraduate degree in Software Engineering. Possessing proficiency in .NET Core, C#, Xamarin, API Rest, Asp.Net Core, HTML, CSS, Angular, and SQL, with ongoing efforts to expand expertise into additional technologies. Demonstrates a commitment to delivering creative, functional, and appealing solutions across various tools and platforms. A portfolio of work can be found on GitHub.

Experienced in leveraging advanced technologies, including Java 17, Kotlin, Spring Boot, Spring Data JPA, BDD, Mockito, Junit, Docker, Kubernetes, Kafka, RabbitMQ, and Postgres, for specialized applications. Developed comprehensive queries for tax and credit regulatory bodies to enhance the loan approval process. Contributed to the creation of a pioneering banking credit analysis system that offers holistic evaluations of financial profiles for individuals and legal entities. Implemented advanced financial modules, analytical reports, legal management tools, and managerial tools specifically designed to address the requirements of the judicial sector.

Datarails is a financial planning and analysis platform that automates data consolidation, reporting, and analysis for finance teams. It integrates with existing systems to streamline budgeting, forecasting, and financial reporting processes, providing real-time insights and improved decision-making capabilities.

A Datarails expert must have skills in financial analysis, proficiency in Excel, and experience with financial planning and analysis (FP&A) software. They should also be adept at data integration, automation processes, and have a strong understanding of database management and reporting tools.

How to hire a Datarails expert

Datarails was created in 2015 to address the inefficiencies and errors associated with manual financial data management. It aimed to automate the consolidation, reporting, and analysis processes for finance teams, thereby improving accuracy and decision-making.

About Datarails

Strengths of Datarails include automated data consolidation, real-time insights, and seamless integration with existing systems. Weaknesses may involve a learning curve for new users and potential integration challenges with highly customized systems. Competitors include Adaptive Insights, Anaplan, and Vena Solutions.

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