Architecting robust data pipelines and transforming raw data into strategic insights. I specialize in building scalable analytical solutions and seamless integrations to drive business decisions.
With a solid foundation in Computer Science and prestigious certifications including CDMP Associate and IBM Data Engineering, I architect systems that convert chaotic raw data into structured, high-value assets.
My expertise lies at the intersection of Data Engineering and Business Intelligence — building robust, scalable PySpark ML pipelines while designing interactive dashboards that empower stakeholders to make data-driven decisions.
The tools, languages, and frameworks I use to engineer robust data solutions.
Applying data strategies to solve real-world organizational challenges.
The Only Agency (Perpetual)
Easy Menu: a tech start-up
Aqari Link
Real-world data products focusing on architecture, ML, and business intelligence.
Design and development of an integrated machine learning (ML) pipeline using PySpark. This project focused on large-scale data processing, feature engineering, and building a robust predictive model to handle complex data with high efficiency.
WellWise is a Cloud Web Application created with the aim of helping the user calculate his daily protein and calorie needs and then order meals based on the amount of nutrients the user needs in his meal.
A lightweight ETL pipeline that processes person data from multiple file formats, converts measurements to metric units, and consolidates the results.
Extracting and analyzing cloud job data (AWS, Azure, GCP) from recruitment platforms. The project aims to identify the most in-demand skills and technologies in the job market using web scraping and interactive data visualization techniques. Technical details will be published soon.
Industry-recognized certifications validating data engineering expertise.
An intensive 16-course program covering the complete Data Engineering ecosystem. Validated skills in designing, building, and managing scalable data pipelines, utilizing relational/NoSQL databases, and deploying machine learning models.
Certified Data Management Professional by DAMA International. Demonstrates comprehensive understanding of Data Governance, Data Modeling, Master Data Management, and established best practices for enterprise-level data strategy.
covers essential AWS services and skills like data storage, analytics, and security, crucial for a data engineering role.