Samuel O.
Full Stack Software Engineer at Jellyfish- Claim this Profile
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English Native or bilingual proficiency
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Portuguese Native or bilingual proficiency
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Français Limited working proficiency
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Espagnol Limited working proficiency
Topline Score
Bio
Credentials
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Associate Cloud Engineer
Google CloudSep, 2023- Nov, 2024
Experience
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Jellyfish
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United Kingdom
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Advertising Services
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700 & Above Employee
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Full Stack Software Engineer
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Oct 2022 - Present
Proud member of the internal technology and innovation team developing data driven reporting and A.I GPT powered insights solutions in media and advertising. Proud member of the internal technology and innovation team developing data driven reporting and A.I GPT powered insights solutions in media and advertising.
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Riachuelo
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Brazil
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Retail
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700 & Above Employee
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DevOps & Software Engineer
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Sep 2021 - Oct 2022
Part of the corporate architecture team, we are responsible for the company's quality gates, pipelines, software templates, and developer experience portal Spotify Backstage, updating, maintaining, and creating custom plugins. Deliveries include pipeline performance, endurance, and flexibility, automated rollback, green/blue deployment, helm chart publications, library automated tagging, and improvements to the developer experience portal to ease communication, component pain points, and discoverability between different components, squads, and tribes. Very diverse technology stack, the pipeline supports virtually everything, but first-party company-supported technologies with maintained templates include Java Spring, C# .NET, Node.JS, PHP Laravel & Symphony, and static akamai deliverable front-ends. Show less
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Vitta
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Brazil
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Insurance Agencies and Brokerages
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200 - 300 Employee
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Full Stack Web Engineer & Tech Lead
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Oct 2020 - Apr 2021
Developed and maintained the company's internal client administration and intake systems. Besides the normal CRUD operations on the around 10000 insured lives, the differential of the solution and company was the high degree of automation of most of the processes done manually by competitors. Integration with the client's HR system for automated ingestion of new clients as well as automated inscription into the backing health insurance company, release of the contract in 3 days instead of 3 weeks, not to mention billing process were also automated providing more agility and cutting BackOffice costs. Solution developed in AWS public cloud, Kubernetes cluster infrastructure (Rancher), MongoDB, Elastic Search, Kibana, and RabbitMQ, event-based architecture, with Node.JS backend components (serveless AWS Lambda and kubernetes), with Microsoft Playwright and puppeteer for automation. Show less
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banco BV
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Brazil
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Banking
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700 & Above Employee
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Programador Web Full Stack Pleno
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Aug 2019 - Oct 2020
Part of the team responsible for maintaining and expanding the internal regulatory reporting tools. Directly responsible for the development and improvements of the Spring Batch Jobs responsible for executing the various queries across various RDBMS (oracle, SQL Server, Postgres), centralizing all the data into a Sybase IQ and extracting and serializing specific XML files to regulatory bodies in a format decided by the regulatory bodies themselves. Heavy ETL batch jobs, millions of records, gigabytes of XML generated weekly. Show less
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IBM
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Application Development Specialist
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Apr 2018 - Aug 2019
Developed omnichannel Chatbot for self-service customer service using a cloud-native Node.js solution (fully managed) on the IBM Cloud. Leveraged Cloud Foundry and IBM Compose Databases to create microservices and middleware that along with business intelligence, enabled the deployment of IBM Watson chatbots on various communication platforms such as WhatsApp, Google Assistant, Telephony (Twillio TTS & STT), and more. Developed omnichannel Chatbot for self-service customer service using a cloud-native Node.js solution (fully managed) on the IBM Cloud. Leveraged Cloud Foundry and IBM Compose Databases to create microservices and middleware that along with business intelligence, enabled the deployment of IBM Watson chatbots on various communication platforms such as WhatsApp, Google Assistant, Telephony (Twillio TTS & STT), and more.
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