AWS EMR SPARK Session setup - big Data

Hello there! My name is Sunil, and I'm part of the team at NCS. We are a leading product development, custom software development, and IT staffing company. We have expertise in product automation and providing integrated solutions using open source technologies. I'm excited to hear about your project requirements for AWS EMR Spark sessions setup. From what you have described, Spark version 3.0 is required along with an AWS region that is already set up for the EMR clusters. I believe I am the perfect fit for this project because of my extensive experience in AWS EMR and Spark as well as knowledge of Spark 3.0 features. Specifically, I have strong experience in managing AWS EMR clusters and setting up Spark sessions using Spark 3.0. This will allow you to get accurate results quickly without any issues.

Hi, I have reviewed the project details and understand your requirement of a AWS Cloud Data Engineer who can assist you to set up AWS EMR Spark sessions. I am capable of completing this task in a timely and cost-effective manner. Let's connect and discussion more on it. Short Into about Me: Currently working in one of the Big4 Companies and solving Big Data Business problem using AWS Cloud and Pyspark Engine. I have expertise on the following Tools/Technologies: - Apache Spark (PySpark) - Python3, unit test script, Numpy, Pandas - AWS Cloud Services (Lambda, EMR, DynamoDB, S3, Glue Lambda, EBS, Athena, IAM, Step function, EC2, ECS, secret manager (kms), s3, sns, ses, sqssqs, cloudwatch etc) - Creation of cloud formation templates for various AWS Services - CI/CD Pipelines - SQL/MySQL - Git, GitHub, BitBucket - Big Data Pipelines - IBM DB2 - MS Excel, MS Office - PyCharm, VSCode, Databricks, Jupyter Notebook, MS Excel, Putty Please provide more details if it's more than what you have given in the project details. Thank you! Thanks & Regards, Prakash