Hire the Top Freelance Aws Athena Developers in the World

Lawrence is a Senior Back-end Engineer with 10+ years of technical expertise in product design/engineering using the latest tech trends, stacks, and approaches. He builds and delivers high-quality products and solutions in record time, including innovative payment and billing systems to clients. Lawrence employs a customer-centered approach in the implementation of solutions, communicating progress along the lifecycle of products.

Moustafa is a Senior Software Engineer working on immutable, distributed systems, data streaming, backend services, and ETL pipelines; training, evaluating and deploying machine learning models on projects. He builds products from scratch - implementing and supporting technical solutions across the full-stack using different development tools, technologies and frameworks. He spends time on professional development; taking online courses, learning new technologies, working on open source or side projects.

Swapnil is an AWS Certified Senior Data Engineer with 8+ years of IT experience, proficient in both on-premise and cloud environments, with extensive knowledge of Big Data technologies. He designs and develops data pipelines, focusing on data migration to Databricks and optimization of data workflows, creates ETL pipelines and Python scripts for automating utilities, and manages AWS infrastructure. Swapnil has a strong background in AWS services (EC2, S3, Glue, EMR, Lambda, CloudFormation, Redshift) and batch processing via EMR scripts for large-scale data handling. He is also adept at leading teams, collaborating with stakeholders, and ensuring project delivery while maintaining a strong focus on quality, performance, and data integrity.

Hemendra has 10+ years of experience in automated testing using Selenium WebDriver, TestNG, and API automation, developing automation frameworks, automating web scraping, and scripting automation test cases across various platforms and browsers. He is highly skilled in database testing, writing SQL queries and SQL scripts, as well as API testing, cross-browser testing, parallel test execution, data-driven testing, and UI validation. Hemendra has extensive experience in business requirements analysis, developing test scenarios, writing test cases, test execution, setting up and monitoring automation test suites as part of CI/CD pipelines, and defect tracking and management.

Aishwarya is a Senior AI/ML Engineer with a proven track record in designing, developing, and implementing AI algorithms and models. She creates evaluation frameworks for Agentic AI agents and integrates them with MLOps workflows to automate model training, evaluation, deployment, and monitoring without human intervention. Aishwarya designs ML models, develops and implements RAG pipelines and Agentic AI workflows using LLM fine-tuning and prompt engineering, and builds end-to-end MLOps workflows using tools like MLflow, Kubeflow, and AWS SageMaker pipelines. She is also skilled in developing AI/ML solutions, optimizing GenAI inference performance, and building Vector DB integrations within LangChain and LlamaIndex workflows for AI agents and knowledge bots.

Mohit is a Senior DataOps and DevOps Infrastructure Engineer with over 13 years of experience in managing high-availability AWS and Azure environments. He specializes in building resilient data infrastructure, specifically focusing on the automation and disaster recovery of stateful services like AWS Glue, Athena, and EMR. His expertise includes developing custom Jenkins shared libraries using Groovy to standardize complex CI/CD workflows across enterprise platforms. He has a strong background in Kubernetes orchestration and has led the migration of large-scale legacy systems to cloud-native microservices. Mohit is an individual contributor who bridges the gap between traditional DevOps and modern data reliability engineering

Dynamic DevOps Technical Lead with extensive experience in designing and implementing innovative DevOps solutions. Expertise in leveraging AWS, Kubernetes, Terraform, CloudFormation, and Jenkins to optimize CI/CD pipelines for improved operational efficiency. Proven track record of fostering collaboration between development and operations teams, driving performance improvements while integrating security throughout the DevOps lifecycle to cultivate a strong DevSecOps culture. Committed to promoting clear communication and cross-functional understanding, facilitating continuous improvement across all teams. S.M. is a DevOps Technical Lead and AWS Cloud Architect.