Hire the Top Freelance Mapreduce Developers in the World

Rajagopal is a highly skilled Data Engineer with advanced expertise in Python programming, relational databases, and designing scalable data pipelines. His expertise includes data modeling and transforming large, complex datasets (both structured and unstructured) using distributed systems like Apache Spark and Flink. Rajagopal is adept at query optimization and building efficient data solutions in cloud environments like AWS. He is a collaborative problem-solver focused on contributing to feature development and ensuring data integrity within fast-paced, AI-driven teams.

Renan is a proficient data engineer who possesses a strong background in software engineering, backed by an impressive track record of 15 years of professional experience. Notable contributions include spearheading the development of a Payment Card Industry (PCI) compliance data platform and architecting innovative data solutions on prominent cloud platforms such as AWS and Azure while working with esteemed organizations like Zenvia, PagoNxt, and Neogrid. Renan's proficiency in programming languages such as Scala, Java, Spark, Flink, Hadoop, as well as his extensive knowledge of key technologies like Kafka, AWS, and Azure, make him a valuable asset for any organization.

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.

Shreya is an IT professional specializing in database administration, data analytics, and Big Data technologies. She has extensive hands-on expertise with the Hadoop ecosystem, including Apache Spark, MapReduce, Spark Streaming, PySpark, Hive, HDFS, Kafka, Sqoop, and Oozie. Shreya designs and implements end-to-end ETL workflows using Azure Data Factory and Databricks, leveraging PySpark and Spark SQL for scalable data processing. She is also skilled in developing CI/CD scripts and managing automated deployment pipelines within Azure environments.

Lalita is a seasoned data engineering & ML/Al professional with ~17 years of experience delivering real-time analytics, big data, & ML solutions across multiple industries. Expertise in the end-to-end project lifecycle, including data infrastructure design, cleansing, transformation, modeling, optimization, QA, and deployment of ETL/data pipelines to SQL/NoSQL warehouses, Delta Lake, and cloud data lakes. Skilled in designing and managing batch and real-time pipelines ingesting data from APIs, legacy systems, IoT sensors, databases, and files, integrating with streaming frameworks. Experienced in workflow orchestration and job scheduling.

Since 2010, H.N. has been a Java Certified Developer with a BSc in Information Systems. Part of global teams for over 7 years now, and grateful for the experience of living abroad and sharing culture in both personal and professional ambit. While always in love with the Back-end, for 8 years of my career, H.N. worked as a Full-stack developer, in which H.N. has been in touch with many technologies such as, among many others: | Java 5-6-7-8-11-17-21-25 | Spring boot | Spring Framework | SQL | Apache Camel | MongoDB | Solr | AWS | Azure | Jenkins | git | Angular | React | Quickly adapted to pursue advantages that artificial intelligence can provide on day to day activities quality and productivity. H.N. is proud of getting feedback praising how easily H.N. fit on a team and how quickly teammates feel comfortable reaching out to H.N.. Also can't get enough of overcoming software challenges and love the sensation of being part of others' success.

Dynamic Senior Full Stack Developer with over 11 years of experience delivering high-performance, enterprise-grade web applications. M. D. specializes in building sophisticated frontend experiences using React.js and Next.js, with a particular focus on complex administrative dashboards and logic-driven survey workflows. Currently serving as a Senior Developer at Qualtrics, he possesses deep domain expertise in the Qualtrics API (XMD, Surveys), managing the end-to-end survey lifecycle, from automated distribution and audience targeting to real-time response tracking and data extraction. Beyond his Qualtrics specialization, Mohith is highly proficient in building scalable backends using Python (FastAPI, Django), ensuring seamless integration between frontend interfaces and complex data architectures. He has a proven track record of developing CMS-governed survey systems within HIPAA-compliant healthcare environments, emphasizing secure data handling and RBAC. A cloud-native expert, he is adept at deploying containerized applications (Docker, Kubernetes) via AWS and GCP, and is increasingly focused on enhancing product experiences through AI-powered workflows and RAG systems. Robust experience in Agile delivery, he is a self-directed engineer who excels at translating complex business rules into maintainable, "logic-correct" technical solutions.