KingCastle
ioaviator
Data Engineer | Analytics Engineer | Technical Writer
Languages
Repos
21
Stars
3
Forks
7
Top Language
Python
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Top Repositories
A real-time data pipeline implementation
A big data processing platform using Apache Spark, optimized for scalability and cost-efficiency.
Contains all the tasks, assignments, and projects completed during my participation in the Core Data Engineers Bootcamp
Repositories
21No description provided.
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TripLens Countries Explorer makes it easier to make travel decisions about countries, reduce unknowns ahead of a trip, supporting more informed, confident travel planning
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A real-time data pipeline implementation
A big data processing platform using Apache Spark, optimized for scalability and cost-efficiency.
No description provided.
Analyzing transaction data in real time to identify fraudulent activity, such as unusual spending patterns or transactions from different locations
No description provided.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
Analytical project for an insurance company specializing in disaster response, offering impact analysis and reporting
Contains all the tasks, assignments, and projects completed during my participation in the Core Data Engineers Bootcamp
A FastAPI web service that scrapes weather data from a website, and writes the data to a Google Sheet
No description provided.
SmartEdge Data Engineer Assessment
A data pipeline that automates the extraction, transformation, and storage of university-related information from the USA College Scorecard API. The system will retrieve data for the top 1000 schools in the U.S.A based on ranking and store the data in a structured format suitable for analytics
API Based ETL Pipeline with Polars, PostgreSQL, IMDB via RapidAPI
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Using python for ETL to extract data from Kaggle, clean and transform with Pandas and load into a database