A novice software developer actively pursuing opportunities for professional growth and career advancement.

A Systems Analysis and Development student specializing in JavaScript development, with proficiency in application development using a range of technologies such as PHP, MySQL, Oracle DB, JavaScript, ExtJS, JSON, AJAX, SQLServer, Bootstrap, Java, HTML5, CSS3, Docker, and API integration. Possesses technical and practical knowledge in C#, particularly demonstrated through the development of a full game using the Unity platform. The game, fully developed in C#, is available on the Play Store for testing and continues to be refined regularly.

Back-end Programmer with over four years of experience in system development and data manipulation, proficient in GO, SQL and NoSQL databases, .NET, and C#. Demonstrates a strong enthusiasm for technology and its potential to transform the digital landscape. Recognized for a deep passion for science, a proactive approach, and exceptional self-teaching capabilities.

Software Engineer specializing in back-end technologies with a focus on Python Django, utilizing Django Rest Framework (DRF) and Django-CMS. Demonstrates a strong ability to thrive in team environments comprising diverse individuals. Assumes responsibility, leadership, and ownership of the product. Committed to continual learning and professional development.

A full-stack developer with over five years of concentrated experience in web development, specializing in back-end operations. Proficiencies include developing a range of applications, from simple websites and landing pages to subscription-based content display sites. Although the primary language of expertise has been PHP, the development journey commenced with Python, and there remains a continued engagement with both PHP and newer languages such as Node.js to enhance front-end development capabilities. The developer has a robust understanding of Object-Oriented Programming (OOP) and operates proficiently within Linux environments.

Backend Software Engineer with over four years of experience in software engineering. Specialized in designing, developing, and maintaining highly scalable Node.js microservices, with proficiency in handling high-demand services through the use of frameworks such as Nest.JS, Express.js, and TypeScript. Demonstrated expertise in managing both relational and non-relational databases, including MongoDB, MySQL, and PostgreSQL, while leveraging cloud computing services such as RDS, Mongo Atlas, and S3. Extensive experience in developing event-driven microservices using technologies like RabbitMQ and SQS, as well as utilizing an array of AWS tools including CloudWatch, EC2, ECS, and Lambda. Skilled in creating applications with high observability and employing monitoring tools such as New Relic, CloudWatch, and Prometheus. Adept at automated testing across various levels, including unit tests, integration tests, performance testing, service testing, end-to-end testing, and mutation testing.

Full Stack Developer possessing a dynamic and communicative profile, with strong skills in socialization and proactive engagement. Continuously seeks to acquire new knowledge to stay abreast of technological advancements. Holds a Bachelor's degree in Software Engineering and exhibits a solid understanding and proficiency in diverse technologies.

A Software Engineer specializing in the development of robust and scalable solutions through the use of JavaScript and TypeScript. Possesses a strong foundation in web development, demonstrating proficiency in constructing modern web applications utilizing both React and Angular frameworks. Additionally, holds substantial backend expertise with Node.js and NestJs, coupled with experience in managing relational and non-relational databases.

Amazon Elasticsearch V2, now known as Amazon OpenSearch Service, is a managed service that simplifies deploying, operating, and scaling Elasticsearch clusters in the AWS Cloud. It provides real-time search, analytics capabilities, and visualization of large volumes of data for use cases such as log analytics, full-text search, application monitoring, and more.

An Amazon Elasticsearch V2 expert should have skills in managing and configuring Elasticsearch clusters, understanding AWS services integration, proficiency in data ingestion and indexing, experience with Kibana for data visualization, and knowledge of security best practices for access control and encryption. They should also be adept at performance tuning and troubleshooting cluster issues.

How to hire a Amazon Elasticsearch V2 expert

Amazon Elasticsearch V2 was originally launched by AWS to provide a managed service for Elasticsearch, aimed at simplifying the deployment and management of Elasticsearch clusters. It was developed to address the growing need for real-time search and analytics capabilities in the cloud. The service evolved over time, eventually being rebranded as Amazon OpenSearch Service to offer enhanced features and support for open-source search and analytics engines.

About Amazon Elasticsearch V2

Strengths of Amazon Elasticsearch V2 include ease of deployment, scalability, integration with 

 services, and managed maintenance. Weaknesses involve potential cost concerns at scale and limited flexibility compared to self-managed solutions. Competitors include Elastic Cloud (offered by Elastic), Azure Cognitive Search, and Google Cloud's Elasticsearch Service.

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About Amazon Elasticsearch V2

How to hire a Amazon Elasticsearch V2 expert

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