Hire Top Freelance HDFS DevelopersFind top freelance HDFS developers quickly and easily on Codementor. Work with our vetted developers who have the proven skills and experience to get the job done. Get help with projects by-the-hour or long-term. Hire a trusted HDFS freelancer on Codementor today.
Results-driven Senior Software Engineer with over 8 years of experience in API development, cloud deployment, and real-time data processing, demonstrating expertise in designing high-efficiency solutions for financial and data-driven applications. Proven leader with a track record of optimizing performance through code review practices, asynchronous programming, and scalable system architectures. Skilled in mentoring teams, aligning stakeholder requirements, and ensuring seamless production launches. Holds dual degrees in Computer and Electrical Engineering from the Illinois Institute of Technology and multiple AWS certifications, showcasing both technical acumen and a commitment to continuous learning and professional growth.
* More than 21 years of IT experience * AWS Cloud wrangler * Finished HDP Operations: Administration in 2017 in London and become certified administrator (http://bcert.me/srgeppkg). * Worked with 50+ Pb cluster (Hbase 6Pb+). * Developed and teached course "BigData. Introduction to Hadoop"
Leveraging my 5+ years of experience building large-scale systems at PhonePe, Google, and Flipkart, I'm passionate about helping you conquer your coding challenges and interviews (through system design, DSA, and more). [LinkedIn](https://www.linkedin.com/in/arnabbir)
Progress is infinitesimal most of the time: how do we measure it? Do we add to progress combinatorially? Are relationships between highly-connected data, people, ideas, products, and services more crucial to understanding the big picture than knowing each element alone? How can we leverage technology to not only understand the world, but make the world a better place? Let's hack the future.
I'm software engineer and engineering manager with 10+ years of experience with last 5 years in Scala, working on micro-services and big data pipelines. My other skills include Kafka, Spark, Docker (Compose, Swarm), Kotlin, Corda, Python.
I am a backend engineer and analyst at the Krembil Institute in Toronto. I am a commiter and member of the Technical Steering Committee for JanusGraph Distributed Graph Database, an open source project hosted at the Linux Foundation. I graduated with a Bachelors of Science in Bioinformatics & Computational Biology and Molecular Genetics & Microbiology from the University of Toronto. I practice data mining, data science, and machine learning. I enjoy reading papers to understand what "state-of-the-art" means in fields that excite me.
### 🔑 Top Skills * Big Data Technologies: **Apache Spark, Hive, HBase, Kafka** * Cloud Platforms: **AWS, Kubernetes, Google Cloud Platform (GCP)** * Data Processing & Transformation * Data structures & Algorithm * Low level design * High level design * Schema Design ### 📜 Certifications * Neural Networks and Deep Learning * Certified Kubernetes Application Developer ### 🌟 Summary I am a seasoned **Data Engineer** with over **12 years of experience**, adept at delivering transformative solutions in **big data, cloud platforms, and database management**. I've successfully worked as a **developer and architect** for top MNCs and led multiple freelance projects to completion. Some of my key achievements include: * 🚀 Developing robust **Apache Spark frameworks** to enhance productivity. * 📈 Migrating large-scale big data systems to **AWS Cloud**, leveraging **Apache Airflow** and **Amazon EMR**. * 🔍 Optimizing retail analytics using **Kubernetes** and **Hive**, driving profitability. I specialize in crafting **scalable ETL pipelines**, optimizing performance, and mentoring aspiring engineers.
Master of Technology (UTFPR) Bachelor in Data Processing Electronics Technician Developer for over 20 years .... Mono Hacker since 2003 Fluent languages: C#, Java, PHP, Specialties: Data Science: Cloud Computing, Big Data, Machine Learning, ElasticSearch, Map Reduce, Hadoop, Recommendation, ,Mahout, Distributed Computing, Research, Software Engineering, AWS, PIG, Cassandra, Sqood, HBase, Hive, Flume. Computer Languages: C#,Java, Php, Ruby, C, C++, Pascal, Boo, Python Mobile Develop with Xamarin Plataform in C# to Android, iOS and Windows Phone Project Management, Agile Teams, Extremme Programming, Scrunm , best practices,Refactor, TDD, BDD, DSL,
More than 3 years experience as Data Scientist including strong foundation with python,big data, hadoop, aws, natural language processing and visualization tools. More than 5 years experience as software engineer. Always ready for the next challenge.
We'll share your request with freelancers with relevant HDFS skills and expertise.
Use our messaging feature to instantly chat with freelance HDFS developers around the world.
Choose the best freelance HDFS developer that meets your needs.
The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance HDFS project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance HDFS request on Codementor, check out our article.
We don’t charge anything when you post a freelance hiring request for HDFS developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.
We do a comprehensive technical and communications screen of all HDFS developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing HDFS developers’ user satisfaction rates.
For more answers to frequently asked questions, see here.