You know that phrase everyone keeps saying, 'Data is the new oil'? Well... I'm a data enthusiast who builds pipelines and data platforms like drilling an oil well, laying down pipelines, and refining it all. But instead of oil, I extract raw data, refine it, and turn it into insights that empower companies to take off!

• Data Engineering & Architecture: Expertise in building and optimizing data pipelines and scalable platforms, leveraging best practices in data engineering and system architecture.
• Cloud Infrastructure: Proficient in cloud solutions with AWS and Azure, creating robust and scalable environments for large data volumes.
• Data Pipelines: Building and maintaining efficient data pipelines using Apache Spark, Python, and SQL for data integration, transformation, and optimization.
• Big Data: Implementing solutions to process and analyze large data volumes using Big Data technologies like Apache Spark and NoSQL databases (MongoDB, PostgreSQL).
• SQL & NoSQL Databases: Expertise in SQL (PostgreSQL) and NoSQL (MongoDB) for data manipulation and analysis in various contexts.
• Programming & Automation: Proficiency in Python for developing scalable and efficient data processing and task automation solutions.

Below is a summary of the programming languages ​​I frequently work with in my data engineering projects.