Hi there! 👋 I'm Kamal Berriga

I'm a passionate software engineer with expertise in backend development and data engineering. I specialize in building scalable and efficient solutions to solve real-world problems. Here's a bit about my skills and the technologies I work with:

Skills and Technologies

Programming Languages: Node.js, TypeScript, Python
Backend Development: RESTful APIs, microservices architecture, database design
Data Engineering: ETL pipelines, data processing, data modeling,data warehousing
Cloud Platforms: Amazon Web Services (AWS), specifically experience with ECS, EC2, S3, Lambda, and DynamoDB
DevOps: Continuous Integration/Deployment (CI/CD), containerization (Docker), serverless architecture
Databases: SQL (MySQL , PostgreSQL), NoSQL (MongoDB)
Version Control: Git, GitHub

Contact Me

You can reach me through the following channels:

Email: [email protected]
LinkedIn: https://www.linkedin.com/in/kamal-berriga/
Personal Website/Portfolio: https://www.kamalberriga.com

I'm always open to exciting opportunities, collaborations, and interesting conversations. Feel free to reach out if you have any questions or would like to connect!

kamal berriga's Projects

aws-s3-trigger

This projects is about converting a file from json to csv , the lambda function is triggered once a file is being added to s3

countdown.js

[UNMAINTAINED] A little JavaScript cutstomizable countdown

flyproject-spring-boot

sentiments analysis web application

school-management

application that manage salle reservation for university

shopify-products-api

Bulk upload products to your shopify store using shopify API in python

sparkify-cloud-etl

This project develops a data engineering solution, constructing an ETL pipeline that transforms and stages music streaming data from AWS S3 into a Redshift data warehouse. It emphasizes efficient SQL transformations, optimized data distribution with Redshift's DISTSTYLE and SORTKEY, enabling comprehensive analytics on user activities and song data

spring-boot-angular4-authentication

spring-boot and angular 4 basic authentication with spring security

stedi-aws-spark-balance-analysis

An advanced data engineering project, 'STEDI-AWS-Spark-Balance-Analysis' utilizes Spark, AWS Glue, S3, and Athena for ETL processes and building a data lakehouse. It integrates IoT with cloud-based analytics for processing STEDI Step Trainer data.

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