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My Projects & Open Source Contributions

AWS Data Mesh Utils: Provides a simplified Python API for setting up and managing Data Mesh Architectures with AWS Lake Formation https://github.com/aws-samples/aws-data-mesh-utils

AWS Lambda Database Loader for Redshift: Provides a serverless infrastructure for loading Amazon S3 data into Amazon Redshift https://github.com/awslabs/aws-lambda-redshift-loader

Amazon Redshift Utilities: Utilities to automate operations on the Amazon Redshift Data Warehouse https://github.com/awslabs/amazon-redshift-utils

Amazon Kinesis AutoScaling: Provides Stream level auto-scaling for Amazon Kinesis Streams https://github.com/awslabs/amazon-kinesis-scaling-utils

Amazon Kinesis Aggregators: A framework for continuous summary and aggregate processing of Stream data on Amazon Kinesis https://github.com/awslabs/amazon-kinesis-aggregators

DynamoDB Continuous Backup: Provides automated, continuous backup of DynamoDB tables to Amazon S3 https://github.com/awslabs/dynamodb-continuous-backup

AWS Lambda Streams to Firehose: Module to automatically replicate data from Amazon Kinesis Streams to Kinesis Firehose for long term archive https://github.com/awslabs/lambda-streams-to-firehose

Kinesis Aggregation Libs: Libraries to provide support for Kinesis Producer Library based Protocol Buffers aggregation and de-aggregation for AWS Lambda and other non-KCL applications. https://github.com/awslabs/kinesis-aggregation

Kinesis Beanstalk Workers: Fully automated deployment and management of Amazon Kinesis Client Library based applications using Elastic Beanstalk https://github.com/awslabs/aws-kinesis-beanstalk-workers

My Patents

P-20559-US: Utility for Balanced Scaling of Kinesis Streams using EC2 AutoScaling Concepts, Granted, April 2015. Amazon Web Services

P-39698-US: Kinesis Stream Archiver to DynamoDB, Granted, June 2016, Amazon Web Services

P-45188-US: Secure Programming Interface Hierarchies, Granted, April 2018, Amazon Web Services

P-60938-US: Event Publishing System for Heterogenous Events, Granted, November 2018, Amazon Web Services

P-65684-US: Systems and Methods for Rapidly Provisioned Data Management Services, Granted, October 2019, Amazon Web Services

📫 Contact

[email protected]

https://linked.com/IanMeyers

Ian Meyers's Projects

amazon-kinesis-data-generator icon amazon-kinesis-data-generator

A UI that simplifies testing with Amazon Kinesis Streams and Firehose. Create and save record templates, and easily send data to Amazon Kinesis.

amazon-kinesis-scaling-utils icon amazon-kinesis-scaling-utils

The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.

amazon-redshift-utils icon amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

aws-data-api icon aws-data-api

AWS Data API's offer you the ability to replace traditional database back ends for your applications with simple HTTP API's. They offer the speed, scalability, reliability, and security of a sophisticated NOSQL platform, but with zero coding and no servers to manage.

aws-emr-best-practices icon aws-emr-best-practices

A best practices guide for using AWS EMR. The guide will cover best practices on the topics of cost, performance, security, operational excellence, reliability and application specific best practices across Spark, Hive, Hudi, Hbase and more.

aws-kinesis-beanstalk-workers icon aws-kinesis-beanstalk-workers

Elastic Beanstalk Managed Consumer for Amazon Kinesis. This codebase is already public under the AWS Big Data Blog, and requesting move to it's own repo for branching and maintenance.

chalice icon chalice

Python Serverless Microframework for AWS

kinesisencryption icon kinesisencryption

Encrypt and Decrypt Kinesis records with aws-encryption-sdk and AWS KMS using Streams, KCL and KPL

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