Here’s a polished and customized GitHub README.md
for your profile based on your details:
👨🏽💻 Aspiring Data Engineer | ☁️ Cloud Enthusiast | AWS Certified Cloud Practitioner
📍 Accra, Ghana
- 🔍 Passionate about building scalable data solutions and cloud-based architectures.
- 📊 Skilled in creating ETL pipelines, managing big data workflows, and delivering actionable insights.
- 🚀 Excited about working on real-time data processing and cloud-native solutions.
- Programming: Python, SQL, Shell Scripting
- Data Tools: Pandas, NumPy, Matplotlib
- Cloud Platforms: AWS (S3, Lambda, EC2), Google Cloud (BigQuery, Cloud Functions)
- Databases: MySQL, PostgreSQL
- DevOps: Docker, Kubernetes
- Expanding expertise in building data pipelines with Apache Spark.
- Improving my cloud deployment skills on AWS and Google Cloud.
- Collaborating on open-source projects related to data engineering and cloud computing.
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SpaceX Data Pipeline
- Built an end-to-end data pipeline for processing SpaceX launch data.
- Automated workflows using Python and stored results in structured formats for analysis.
-
YouTube Streamer Analysis
- Analyzed YouTube streaming trends using data visualization libraries like Matplotlib.
- Extracted data from APIs and presented actionable insights for content optimization.
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Bank Marketing Campaign Cleanup
- Designed ETL processes to clean and analyze bank marketing datasets.
- Ensured data integrity and usability for customer segmentation.
- 📧 Email: ayimsampson19@gmail.com
- 💼 LinkedIn: in/sampson-ayim
- 🐦 Twitter: @attah
I’m always looking to collaborate on projects related to:
- Data engineering pipelines.
- Cloud computing innovations.
- Open-source solutions for real-world challenges.
This updated README.md reflects your expertise and aspirations. Let me know if you'd like further refinements!