Amazon Kinesis stream,Lambda Function and S3 bucket Task

Hi, I'm a Python Developer with AWS Expertise, I can help in creating a lambda function which process the Kinesis stream , transforms it in the required format and then stores it in the S3 Bucket, Please do reach out to me. Thank You

Hi, I have over 10 years work experience with Python backend programming as well as AWS (Certified PRO) and these kind of services. Ping me and I'll help you out. Cheers

I can do it. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you are anticipating from this platform give me a chance to show you the best i can do at your service.

Hello, i can setup data stream service for you using Kinesis, transform the data using Lambda(Python) and store them in S3 bucket. Let me know the details and i can start now. BR, G.

Hi, I have reviewed the project details and understood your requirement of a AWS Cloud Engineer who can assist you for the below ask: - To building a service to process events coming from a Kinesis stream and save them in an S3 bucket. - Also assist on the transformations required during the intermediate stage. 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: - AWS Cloud Services (Kinesis, DynamoDB, RDS, Aurora, Lambda, EMR, S3, Glue Lambda, EBS, Athena, IAM, Step function, EC2, ECS, secret manager (kms), s3, sns, ses, sqssqs, cloudwatch etc) - Apache Kafka, Spark Structured Streaming, Glue Streaming - Creation of cloud formation templates for various AWS Services - Apache Spark (PySpark), Hadoop, HDFS - Python3, unit test script, Numpy, Pandas - 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! Regards, Rajeev

Data engineer with large experience in aws environment, I already worked as devops creating and configuring multiple aws accounts. More than 7 years of experience working with data and working with python

Set up Kinesis Stream: First, you need to create a Kinesis stream in AWS if you haven't already done so. This stream will be used to ingest the events that you want to process. Write Producer Code: Write code to produce events and push them to the Kinesis stream. This could be anything from an application running on EC2 instances to AWS Lambda functions. Create Lambda Function: Create an AWS Lambda function that will be triggered by events from the Kinesis stream. This function will process the events and prepare them for storage in S3. Process Events: Write the logic inside your Lambda function to process each event received from the Kinesis stream. This could involve parsing, transforming, or filtering the data as required. Save Events to S3: Once the events are processed, the Lambda function should save them to an S3 bucket. You can use the AWS SDK or AWS CLI to write the processed data to the S3 bucket. Set Permissions: Make sure your Lambda function has the necessary permissions to read from the Kinesis stream and write to the S3 bucket. You can do this by creating appropriate IAM roles and policies. Testing and Monitoring: Test your setup thoroughly to ensure that events are being processed correctly and saved to the S3 bucket. Set up monitoring and logging to keep track of any errors or issues that may arise.

I am AWS Solutions Architect Certified and AWS Cloud Practitioner Certified and have experience building AWS architectures for these use cases.

We are here to express our interest in your project requiring expertise in AWS services such as Lambda, Kinesis, S3, as well as Python programming. We have extensive experience in these areas, and we are confident in our ability to deliver the best results for you. Please feel free to contact us. We look forward to working with you.