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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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Ndaruga/README.md

Hi 👋, I'm Francis

A Data & Analytics Engineer

  • 🔭 I’m currently working on Data Engineering projects

  • 👯 I’m looking to collaborate on Data Engineering projects

  • 💬 Ask me about: Data Engineering, Analytics, Data Security, etc

  • 📫 How to reach out to me on twitter: @Ndaruga_

  • I speak Fluent English and some Chinese Mandrin

  • ⚡ Fun fact: I am Mechanic,🚗🔧🛠️ with no idea how to intergrate it with tech💻

Connect with me:

ndaruga_ francis-ndaruga @ndaruga

Languages and Tools:

Docker Apache Spark Apache Kafka Kibana Git Grafana Apache Hadoop Google Cloud Go Power BI Promotheus Snowflake Terraform Data Bricks Digital Ocean Fivetran Microsoft Azure Cloud Ops AWS Apache Airflow Ansible MariaDB MongoDB Google BigQuery PostgreSQL Python

ndaruga

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  1. Integration-Services-with-ETL-using-MSSQL-server-and-power-BI Integration-Services-with-ETL-using-MSSQL-server-and-power-BI Public

    ETL using MSSQL server and Power BI

    TSQL 1

  2. On-Premise-SQL-Server-Database-Migration-to-Azure-SQL On-Premise-SQL-Server-Database-Migration-to-Azure-SQL Public

    Migrate an onpremise database to azure SQL with realtime reports

    Jupyter Notebook

  3. Auto-configuration-of-virtual-Machines-with-ansible Auto-configuration-of-virtual-Machines-with-ansible Public

    configuring and automating servers with ansible.

    Batchfile 1 1

  4. Extract-weather-data-from-open-weather-API-using-python-and-AWS-EC2 Extract-weather-data-from-open-weather-API-using-python-and-AWS-EC2 Public

    Extracting weather data from the OpenWeatherMap API using Python and AWS EC2

    Python 1

  5. Chatbot-for-SQL-databases Chatbot-for-SQL-databases Public

    A chatbot for an SQL databases. An easy way to interact with your database using natural language

    Python 2

  6. Real-Time-Streaming-of-Transactional-data-at-Scale Real-Time-Streaming-of-Transactional-data-at-Scale Public

    Real time streaming of fake transactional data at scale by Integrating Apache Flink, Kafka, Postgres, Elasticsearch, Kibana, and Docker

    Python