Hire the Top 2% of
Remote Amazon Rekognition Developers
in Brazil

Wanderson A.

Amazon Rekognition developer in Brazil (UTC-3)

Hello, everyone Thanks for watching my profile here. My name is Wanderson, working with tecnology almost 8 years. At this time i had opportunity to work in many areas like insurance, fuell sales, health system and bank. I'm passionate technology. I belive that technology can help a lot of people to solve many problems, connect needs, growth bussines and others thinks that I have no idea how works and generate value for our society. Because of this, here I'm, looking new opportunites to work remotely. I really like to work in enviroments where i can colaborate with my knowledge be a part team, learn about bussines and new languages and frameworks. See you in the next challenge.

André S.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

I am a Data Engineer with over eight years of experience with data engineering and have worked since 2006 with databases. I started working with AWS in 2012 and always kept this provider as a focus, but I had also worked with GCP and Azure before. I built data pipelines with several architectures and tools for different purposes and companies' industries.

Victor P.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

Software Engineer with experience in web applications. Always worked as a full stack developer, with focus on code quality, maintability, performance and scalability. Knowledge in testing, developing and configuring applications. Have experience in using AWS services (EC2, Lambda, S3, SQS), Docker configuration and Jenkins pipelines. Proactive in identifying and solving problems, communicative and passionate about programming.

Fabiano Y.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

Hi! My name is Fabiano Yoschitaki and I'm a software engineer graduated with a bachelor's degree in Computer Science and a MBA in Software Engineering. I'm passionate about solving problems and learning new things each and every day. There's no better place than coding to achieve both things. I consider myself a very committed doer, collaborative and flexible person and love to work with people who push themselves to their best, no comfort zone. I have the most expertise in web development as a backend engineer using Java ecosystem to build microservices. Currently I'm also developing and gathering experience with Golang.

Danilo M.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

I am a programmer with about 10 years of professional experience and for the last 4 to 5 years I have been focusing mainly on Javascript/React, Node.js and Python. Throughout my career I have coded and helped support CRM systems, process management systems, systems integrations with the most varied technologies including some more obscure ones like the RNIF protocol. I have designed and built near real time, highly available and distributed systems from the ground up. I have also coded dozens of web scrappers, spreadsheet generators, automation scripts, mobile apps in Ionic and even some Arduino with computer vision code as a freelancer. I am passionate about code architecture, refactoring and clean code and I practice TDD on a day-to-day basis. I have a good amount of experience on AWS and even have a certification. I also have plenty of experience managing infrastructure on a barebones server. I am fluent in English having resided in the USA for 2 years.

Tiago F.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

Results-driven data engineer with 6 years of experience in designing and implementing data solutions. Proficient in leveraging PySpark, Python, Hadoop, PostgreSQL, and AWS to develop scalable and efficient data pipelines, ETL processes, and data warehousing solutions. Demonstrated expertise in optimizing data workflows, ensuring data quality and integrity, and driving data-driven decision-making. Adept at collaborating with cross-functional teams to deliver innovative solutions that meet business requirements. Strong problem-solving and analytical skills combined with a commitment to continuous learning and staying up-to-date with emerging technologies in the data engineering space.

Igor T.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

I am a Software Engineer who has been working with data since 2017. In my career, I have worked on different solutions, such as planning and building a Data Lake on AWS using Delta Lake to store 3D Printer sensor information, and developing a data product to device the optimal energy allocation in Minning facilities reducing the cost of R$1,000,000.00 per year using R. My primary programming language is Python, and I have expertise working with data engineering tools in the AWS environment, like Spark, Airflow, Redshift, EMR, Kinesis, and Lambda. My greatest passion is working with projects that can challenge me and make me a better developer

Dannie M.

Vetted Amazon Rekognition developer in Brazil (UTC-3)

Software Engineer with 8+ years of experience in activities like refactoring, troubleshooting and mentoring. Expert in several databases, VCSs and cloud services. Enthusiast of Vue.js and a good friend of React.js. Plus: Funny, collaborative and solution-oriented. Fan of dogs, travels, volleyball, piano, arts and cycling.

Itagyba .

Vetted Amazon Rekognition developer in Brazil (UTC-3)

Data Engineer | 10 years of experience Solution Architect | SRE | DevOps | 5 years of experience Data Science | MLOps | 2 years of experience A musician since I was four years old, I started my IT career in 2009. Since then, I've been focusing on optimizing algorithms for large amounts of data. Nowadays, I am passionate about Artificial Intelligence Modeling, Human-Computer Interaction, and Machine Learning algorithms. In February 2018, I joined Pay 4 Brain when I trained the robot "The Canceller", a project that won four awards at the Cannes Film Festival of the same year, including "Innovation".

Marcel P.

Vetted Amazon Rekognition developer in Brazil (UTC-4)

Experienced Data Engineer with over 10 years of expertise in designing, developing, and optimizing data solutions. Skilled in managing complex data pipelines, integrating diverse sources, and delivering actionable insights. Proficient in Python, SQL, AWS and related technologies . Strong problem-solving and collaboration abilities. Committed to empowering organizations with data-driven solutions.