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More than 7 years of experience in Database Design, Development, Implementation, and Tuning of Relational Database Systems using MS-SQL Server 2008R2/... View More
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A data-driven professional with a strong foundation in data analysis, effective data interpretation, and communication of complex concepts. Proficient... View More
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Dynamic professional with over 22 years of diverse experience in roles such as Team Lead, Trainer, and Security FLEX Officer across industries includi... View More
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- Tennessee , Class D/Regular Operator
Detail-oriented team player recognized for strong organizational skills and the ability to manage multiple projects simultaneously while maintaining a... View More
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- CLA - Clinical Laboratory Assistant
Software Development Engineer with 5+ years of experience in enterprise web applications, microservices, cloud deployment (AWS), automation, DevOps pi... View More
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Results-driven Azure Data Engineer and Power BI Developer with 6+ years of experience designing, developing, and deploying scalable data solutions on ... View More
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- Microsoft Certified: Azure Fundamentals (AZ-900)
Ingénieur Études et Développement .NET avec 10 ans d'expérience dans la conception et l'optimisation d'applications web et microservices. Expert des ... View More
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Dedicated and results-driven professional with a strong work ethic and proven ability to manage challenging tasks effectively. A collaborative team p... View More
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Diplômé d'un Graduate Technicien Supérieur Système et Réseaux, je recherche mon premier emploi. Mon parcours en administration de bases de données et ... View More
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- Technicien supérieur systèmes et réseaux (RNCP niveau 5)
Analytical Data Professional with a Master’s in Big Data Analytics and expertise in Python, SQL, Excel, Tableau, and Power BI. Proven ability to condu... View More
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- AWS Certified Machine Learning - Speciality: Certified for AWS Certified Machine Learning - Speciality
- Validated expertise in designing, building, deploying, and maintaining machine learning (ML) solutions on AWS.
- Demonstrated knowledge in ML lifecycle management, data engineering, model training/tuning, and scalable model deployment using AWS services such as SageMaker, S3, Lambda, and CloudWatch.