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👋
Upskilling & Applying for Jobs
👋
Upskilling & Applying for Jobs
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ndomah/README.md

👋 Hi there!

I am a Data Engineer transitioning from a strong analytics background, passionate about building scalable data solutions. I combine my proven experience in data analysis with newly acquired engineering skills to bridge the gap between raw data and business insights.

Recently completed intensive training in modern data engineering, encompassing data pipeline development, cloud architectures, and the latest data stack technologies. What sets me apart is my unique perspective – I understand both the technical requirements of robust data engineering and the end-user needs from my analytics experience. I'm eager to apply this combination of skills to build efficient, business-focused data solutions.

🗝️ Skills:

  • Data Engineering & ETL: Python, Linux/Bash, Git, Apache Airflow, Apache Kafka, ETL/ELT Pipeline Development, Docker containerization
  • Cloud & Data Warehouse: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Snowflake, Modern Data Warehousing, Data Lakes, data build tool (dbt)
  • Databases & Data Modeling: SQL, MongoDB, Elasticsearch, Dimensional Data Modeling, Relational Data Modeling
  • Big Data Technologies: Apache Spark, Stream Processing
  • Data Visualization & BI: Tableau, Power BI, Looker Studio, Streamlit

🔗 Links:

Pinned Loading

  1. Mathematics Mathematics Public

    Materials for computer science mathematics prerequisites.

  2. Computer-Science-Masters Computer-Science-Masters Public

    Links to my computer science master's learning materials.

  3. Bioinformatics Bioinformatics Public

    Links to bioinformatics projects and learning materials.

  4. Data-Engineering Data-Engineering Public

    Links to data engineering projects and learning materials.

  5. Data-Science Data-Science Public

    Links to data science projects and learning materials.