Apache Spark or flink

I am a senior software engineer. I am doing Java-based software development since 2008. My expertise are mostly in server-side technologies and frameworks. I have the beginner level experience of Apache Spark. I have installed Hortonworks sandbox on my laptop with 16 GB of RAM for my personal practice on big data technologies. If I am provided this opportunity, I will give my best and will provide you the best possible solutions. My years of technical experience will ensure the best practices to follow for this project. Looking forward to your reply.

Hi there I can help with this task. I have got more than 6 years of experience developing complex software systems that is used by many thousands users in a day at scale with security standpoint. I have done many projects in big data domain. Real time Analytics in Apache Flink with dynamic rules and broadcast streams. I think I can help you with this task. Let's chat and move it forward

Hello. I am the Java and Spark developer and having 4+ years experience in developing Java and Big data application with all Structured and non structured databases, Azure Blob, Amazon S3 storage integration with Apache Spark. I also have expertise in Java, Spring, Spring Boot, Hibernate, Apache Tomcat. I'm interested in your project, please let me know your details or we can discuss more closely. Thanks.

I have a good knowledge on spark machine learning and streaming (dstream and structured streaming). I have used apache spark in my master thesis

Hi, I am a developer with good hands-on in developing spark programs(spark structured streaming/spark streaming/spark batch). Strong advocate of reusable, configuration driven development. I have very good working experience in using Big data Ecosystem tools stack including Kafka, Spark, Hive, Hdfs. Having worked in Agile & devops model, I can take care of end-end integration starting from design, dev, testing and deployment. I can certain that we would be mutually benefited from this project. thanks for the chance :)