Spark Stream Based ETL's

Hi, I have 8 years of experience and working on hadoop, spark, nosql, java, BI tools(tableau, powerbi), cloud(Amazon, Google, Microsoft Azure)... Done end to end data warehouse management projects on aws cloud with hadoop, hive, spark and presodb. Worked on multiple etl project like springboot, angular, node, PHP, Kafka, nifi, flume, mapreduce, spark with XML/JSON., Cassandra, mongodb, hbase, redis, oracle, sap hana, ASE.... Many more. Let's discuss the required things in detail. I am committed to work done and strong in issue resolving as well. Thanks

Hi, hope you are fine. I have gone through your job description. You want to do spark streaming using s3 and SQS. I'm ba Cloud Data Engineer with more than 5 years of experience in spark and AWS. I have hands on experience in spark native streaming as well as in spark structured streaming. Looking forward to discuss more about this.

Hi, I am a certified developer and designed and developed many enterprise level applications using spark and entire Hadoop ecosystem. I very much confident to help you on your requirements. Please let’s connect and discuss more on your requirements.

Hi, I'm a software engineer with 5 years of experience in big data technologies (Apache Spark [batch and structured streaming], Apache Kafka [streams and connect] in Paris with a different client on energy and banking activity area. I have also an experience with AWS services like S3, SSM and cloudwatch For more details feel free to contact me o chat. Thanks

Hi Dear, I am expert in AWS Glue and spark. I know crating jobs and trigger and schedule them from various triggers like SQS, CloudWatch etc. Please let me know when can we meet to start working on it. Thanks, Vimal Patel

wil create the spark streaming project and make it available for the use of capturing the realtime dataset and stire it in the amazon s3

Huge experience of building ETL Pipelines using AWS Glue, Apache Spark, AWS S3. Relevant Skills and Experience I have a vast experience of building ETL Pipelines using Apache Spark, Python in AWS Glue, S3. Experience of handling large datasets