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Software Engineer | Data Engineer | Data Analytics | Machine Learning | ETL | Lead | Backend | Python | C# | .NET

As a senior backend engineer with a master's degree in Computer Science, I have gained extensive experience working with a wide range of technologies, including : Python C#/.NET Angular NodeJS PHP I also have a solid foundation in Data Analytics, having built projects using Python, Machine Learning, and Data Analysis techniques. Staying up-to-date with the latest trends and technologies in my field is a top priority for me. As a technology enthusiast, I make it a point to continually expand my knowledge by staying informed of emerging trends and industry developments. I regularly attend conferences and webinars, read industry publications and blogs, and participate in online forums and discussions. In addition to traditional learning methods, I also rely on tools like OpenAI APIs, including ChatGPT, to enhance my dataset and improve my data analysis and machine learning skills. I believe that by staying on the cutting-edge of technological advancements, I can provide the most innovative and effective solutions to the challenges faced by businesses today. Throughout my career, I have successfully : led teams of 4 to 15 people worked collaboratively to optimize testing strategies improved team collaboration architected the migration of legacy code to microservices My experience spans across multiple sectors, including Energy, Waste Management, Real Estate, Insurance, and Aeronautics, with companies of all sizes, ranging from startups to mid-size and groups. Having worked in the Republic of Congo, France, Portugal, and Germany, I was able to practice several languages and as a matter of fact, I am now fluent in English, French, Portuguese, German and Spanish. In addition to that, I am comfortable working remote and asynchronously. As a good listener and communicator, I prioritise collaboration and value a positive team culture. I am passionate about science-related projects and enjoy taking on new challenges / responsibilities to continuously learn and grow. Currently open to opportunities in 2 main areas : Software : (Lead) Software Engineer, Engineering Manager Data : Data Engineer, Data Analyst, Prompt Engineer, Business Analyst I am eager to work with international teams who are driven by making an impact and have a shared passion for collaboration, innovation as well as growth. With my skillset and experience, I am confident that I can contribute to any team and help drive their projects forward.

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Sr Software Developer & Big Data Architect (python, java, Spark, Kafka, Hadoop, hive, Django & flask, Azure and AWS)

I am a seasoned professional experienced in designing, developing, and maintaining robust data engineering solutions and full-stack applications. With a strong background in data engineering, I excel in building scalable and distributed systems for processing and analyzing large datasets in real-time. In terms of programming languages, I possess advanced proficiency in Python, Java, and SQL, leveraging their power to implement efficient and optimized solutions. I have extensive experience working with Apache Spark, utilizing its capabilities for big data processing and analytics. My expertise extends to various cloud platforms, including AWS, Azure, and GCP. I am well-versed in deploying and managing applications in cloud environments, utilizing services such as AWS Lambda, S3, EMR, Azure Data Lake, and GCP BigQuery. As a full stack developer, I have hands-on experience with web frameworks like Flask, Django, and Spring Boot, enabling me to build scalable and responsive web applications. I am adept at containerization technologies such as Docker and orchestration tools like Kubernetes for deploying and managing microservices architecture. Furthermore, I possess knowledge of message streaming systems, particularly Apache Kafka, for building real-time data pipelines and event-driven architectures. I have experience with configuration management tools like Ansible to automate and manage infrastructure as code. With proficiency in front-end development, I can create dynamic and interactive user interfaces using Angular, ensuring a seamless user experience. As a senior data engineer and full stack developer, I am highly skilled in problem-solving, system architecture design, and performance optimization. I am dedicated to delivering high-quality solutions and staying up to date with the latest technologies and industry best practices. Overall, I bring a wealth of experience and a comprehensive skill set to contribute to the success of data-driven projects and full-stack development endeavors.

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Experienced Developer | MSc Computer Science | Full Stack

Expert at developing custom solutions for complex business needs. I hold a Bachelor of Business Administration, and a Master of Computer Science. This gives me a unique perspective built on interdisciplinary knowledge of both fields. In addition to my development expertise and business acumen, I bring to the table an in-depth understanding of related areas including system design and administration, cybersecurity, cloud services (AWS/Google), data analytics, AI, unit testing and code review. I am a collaborative and enthusiastic professional who thrives on fast-paced situations as naturally as in long-term projects. My approach when solving problems is to break them down into atomic parts and work upwards to a holistic solution. Recent projects include: Logistics dashboard that tracks inbound shipments and integrates with the client's ERP system resulting in greater visibility of inventory positions and more strategic long-term planning. Shopify/eBay/MWS integration to ERP for a retailer to unify pricing, inventory levels, streamline returns, and provide sales channel analytics resulting in labor savings, and a unified sales strategy. Industrial dashboard written for a start-up, with React, Socket IO, MQTT, and Flask that gives the controller up-to-date information about the state of the machine and the ability to manipulate physical control surfaces. Complex government-level supply chain simulation that was used to identify inefficiencies in the current distribution schema.

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