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gcp-groupbees

About me 👋

Google Developer Expert on Google Cloud.

Passionate about tech and Data, Craftsman at heart and functional programming lover, I work on long missions or specialized expertise with many customers.

Tech Lead Full-Stack in the past, I set up architectures (Hexagonal, Domain Driven Design) and helped teams to improve their code quality and propose best practices.

Today Lead and Architect Data on Google Cloud, I evangelize this platform while ensuring continuous improvement and expertise. I explore issues related to Data, Infra As Code, DevOps automation (CI/CD) and best practices.

I am also very active in the Google Cloud community:

Co-founder and Head of Data & Cloud at GroupBees. Groupbees is an IT freelancers group created to give freelancers access to a proven framework and a powerful community based on knowledge sharing in order to upskill them as well as give them better employability:

  • Promote the GroupBees label by helping to build a great community of freelancers: good mindset and very good technical skills of our members
  • Animation of the GroupBees Tech community with side projects and organization of monthly BShare sharing talks: https://www.youtube.com/channel/UCARW8PvH1T0yAkTiPbGLeiA
  • Delivering Customer Value with recognized expertise on Google Cloud Data ecosystem

🔗 Let's Connect!

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Mazlum Tosun's Projects

airflow-composer-error-handling icon airflow-composer-error-handling

This project shows how to apply error handling in Airflow DAGs and Cloud Composer in Google Cloud. Instead of repeat a technical code of error handling in each DAG, the principle is to use a callback and a failure interceptor.

asgarde icon asgarde

Asgarde allows simplifying error handling with Apache Beam Java, with less code, more concise and expressive code.

bees-demo-fp icon bees-demo-fp

This project shows some legacy code and patterns and a refactoring for each of them with Functional Programming, lambda and functions composition

bigtesty icon bigtesty

BigTesty is a framework that allows to create Integration Tests with BigQuery on a real and short lived Infrastructure.

bigtesty-example icon bigtesty-example

This project shows examples to launch BigQuery integration tests with the BigTesty framework

bq-python-client-adc-keyless icon bq-python-client-adc-keyless

This project shows how to launch a Python script using a Google Cloud Python client, without a SA token key and enabling keyless approach with Application Default Credentials. The example is shown from IntelliJ Idea.

bq-python-client-error-handling icon bq-python-client-error-handling

Project simulates errors with the Python BigQuery client. Natively, without error handling, the errors are not clear. With error handling, we can access to the errors collections and have more details on the errors. We can debug and understand more easily the errors in BigQuery.

dataflow-java-ci-cd icon dataflow-java-ci-cd

Project showing a CI CD pipeline for Dataflow Java with Flex Template and Cloud Build

datasets-tables-bq-multi-modules-terraform icon datasets-tables-bq-multi-modules-terraform

This project how to create BigQuery Datasets and tables with Terraform and elegant Json configuration. This example use two Terraform modules to create datasets and tables. The deployment of IAC part is done with Cloud Build.

datasets-tables-bq-one-module-terraform icon datasets-tables-bq-one-module-terraform

This project how to create BigQuery Datasets and tables with Terraform and elegant Json configuration. This example use a single Terraform module to create datasets and tables. The deployment of IAC part is done with Cloud Build.

datasets-tables-bq-pulumi icon datasets-tables-bq-pulumi

This project shows how to create BigQuery Datasets with tables using Pulumi and elegant/scalable Json configuration. This use cas was previously created with Terraform and the goal is to rewrite it with Pulumi and the Python SDK.

datasets-tables-workspace-terraform icon datasets-tables-workspace-terraform

Project showing the use of Terraform Workspaces with a complete use case on Google Cloud. Workspaces allow to isolate an infra with its own state on the same GCP project. For example, it can be interesting to have a workspace per developer for testing purpose and allowing each of them to test its infra in an isolated environment.

developers-conferences-agenda icon developers-conferences-agenda

This repository list a maximum of tech conferences's date and CFP in order to help conferences organizers, speakers & attendees

event-arc-trigger-function icon event-arc-trigger-function

This project shows a complete use case with an event driven Cloud Function written in Python and triggered with Event Arc

fp-rust icon fp-rust

This repo contains Functional Programming codes conception with Rust

midgard icon midgard

Midgard is a wrapper on Beam Kotlin, allowing more concise and expressive code. It removes Beam boilerplate code and proposes more Functional Programming style

pasgarde icon pasgarde

Asgarde allows simplifying error handling with Apache Beam Python, with less code, more concise and expressive code.

sa-custom-roles-gcp-terraform icon sa-custom-roles-gcp-terraform

This project shows a complete use case with the least privilege principle on Google Cloud using modular Terraform, Terragrunt and Cloud Build

teams-league-airflow-cloudrun-etl icon teams-league-airflow-cloudrun-etl

This project shows a real world use case with ETL batch pipeline using Cloud Storage, Cloud Run Service and BigQuery orchestrated by Cloud Composer / Airflow

teams-league-airflow-dataflow-etl icon teams-league-airflow-dataflow-etl

This project shows a real world use case with ETL batch pipeline using Cloud Storage, Dataflow and BigQuery orchestrated by Cloud Composer / Airflow

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