Big Data and Hadoop Support

Hi I am a data engineer with 3+ years of experience in the industry. I have worked on deploying highly scalable, resilient and durable solutions using big data tech both in clouds and on-premise. I have expertise in following areas 1. Spark pipelines in aws and on premise 2. Data ingestion to hdfs and hive using sqoop and vice versa 3. Streaming analytics with Kafka and spark streaming 4. Scala, sbt 5. Hdp and HDF distribution both admin and developer track Looking forward to hearing from you.

I have 2 years of experience in all these technologies and have certification in Spark and Hadoop ecosystem as well. Lets discuss in chat to finalize the deal.

i am certified Hadoop developer worked on many projects.

Has been working on these technologies since a year and has gained a decent amount of knowledge . Hadoop - 1.6 Years Sqoop - 6 months Spark With Java - 1 Year Scala - 3 months Hive - 1 year

What would be the kind of work? Data scrubs, transformations? or what kind of processing you would need to perform?

Currently, i am working on the same skills as you required having 1.5 years of experience. I am graduated from one of the India's top most institute's called NIT's. I am workaholic. I can support up to 6 months. Relevant Skills and Experience Spark,Hive,Sqoop,Scala, Java,Sql,Linux

• Possess 2years of analysis and development experience in working projects and prototypes. • Hands on experience on major components of Hadoop ecosystem like Apache Spark, Map Reduce, HDFS, HIVE, PIG, Sqoop and HBASE. • Implemented apache spark procedures like test analytics and processing using the in-memory computing capabilities. • Experience in Exporting and importing the data using Sqoop from HDFS to relational data base system. • Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture. • Involved in the Software Development Life Cycle (SDLC) phases which include Analysis, Design, Implementation, Testing and Maintenance. • Excellent problem solving and communication. • Learning and organizing skill matched with the ability to manage stress, time and people effectively. • Ability to prioritize tasks and planning the work load based on the importance. • Adaptability to any environment in a short span of time.

From past 4 years, I have been working on various components of hadoop ecosystem including Spark, Impala, hive, sqoop and various hadoop components. Yes, I can provide you the assistance required. Relevant Skills and Experience The reason for deploying spark, impala was to have a fast execution of query and jobs. Since, it's implementation we never missed the traditional MapReduce for running hive on spark jobs.

4 years of experience in Hadoop ecosystem and Spark, Scala

Currenly works in hadoop project which involves Spark with scala, hive , impala, sqoop, spark and python as hadoop developer. As this work requires no experience, i can also complete this work as experience fellow. I can work on daily basis for 2 hrs.

I have 4 years of experience on Hadoop eco systems. Have a good working experience with the cloudera flatform. Have Experience in Sqoop,Flume, Kafka, mapreduce, Pig, Hive, Habse, Cassandra Spark core, Spark SQL, can create and tranform rdds in Python API