Description

Hi, I'm Abdelmounaim Misbah, a passionate Data Engineer, With hands-on experience in both startups and global companies, I've honed my skills in building scalable data pipelines, optimizing systems, and solving intricate problems.

But that's not all I’m also a Full-Stack Developer with expertise in crafting seamless web applications and a strong background in DevOps and networking. This unique combination makes me the perfect package for tackling end-to-end projects, from infrastructure setup to delivering polished solutions.

💡 What I bring to the table:

- Expertise in tools like Apache NiFi, Kafka, Hadoop, and Spark for seamless data integration and processing.

- Full stack development experience with frameworks like Laravel, Symfony, and Node.js.

A solid foundation in cloud platforms (Google Cloud, AWS, Oracle Cloud) for Big Data solutions.

- Proficiency in DevOps tools (Docker, Kubernetes, GitLab CI/CD) and networking strategies for optimized workflows.

- Strong database skills: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra, Redis).

- Experience creating machine learning models and implementing real-time data solutions.

🌍 Based in Paris, I’m ready to take on exciting freelance projects.

Industry field of expertise

Languages

Arabic
Native or bilingual
English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

DATA
BIG DATA ENGINEER
TECH
September 2023 - Today (2 years and 10 months)
Paris, France
Built data integration pipelines for unification, migration, and synchronization using DataStudio.
Implemented scalable Big Data solutions with GCP for processing high-volume data.
Orchestrated real-time data replication and processing workflows Kafka, Hadoop, and Spark.
Worked across SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases.
Maintained data quality through deduplication, character set handling, and transformation workflows.
Enabled data-driven decision-making by feeding data warehouses and generating reports via QlikSense
Google cloud Python Apache Nifi ETL Databases
DAVINCICAD
BIG DATA ENGINEER
CONSULTING AND AUDITS
May 2023 - September 2023 (4 months)
Casablanca, Morocco
The specific details of the project are confidential:
• ELT Architecture Definition: Designed and implemented an efficient ELT architecture, reducing data processing time.
• Apache NiFi Implementation: Implemented Apache NiFi for data extraction from various sources, ensuring stable and secure connectivity, resulting in improved data ingestion efficiency.
• Kafka Configuration: Installed and configured Kafka for real-time data processing, enhancing data flow management and reducing latency.
• Data Transformation with PySpark: Used PySpark for transforming extracted data, optimizing performance, and ensuring reliable processing, leading to increased data processing speed.
• Storage Solutions Integration: Integrated storage solutions, including relational databases, HDFS, and NoSQL databases like Bigtable. This facilitated smooth data loading and improved accessibility.
• Data Management: Ensured adequate handling of various data types, including GPS locations, transactions, and master data, guaranteeing consistency and integrity.
• User-Friendly Interface Design: Contributed to the design of a user-friendly interface, enhancing user experience and usability. Skills: NiFi, Kafka, PySpark, Redis, Hadoop, Bigtable, ELT, NoSQL
Apache Kafka Hadoop Spark Terraform Google cloud
Radio Mars
DATA ENGINEER/ SCIENTIST
July 2023 - October 2023 (3 months)
Casablanca, Morocco
Creation of a B2B application for RadioMars designed for managing radio announcements and advertisements, integrating machine learning to develop an advertisement recommendation system:
• Design and Development of Data Management System: Conceived and developed a data management system.
• Data Structure and Characteristics Analysis: Analyzed the structure and characteristics of the data to understand its nature and quality (EDA).
• Development of Recommendation System: Developed a recommendation system using a supervised learning classifier (KNN).
• Implementation of Data Pipelines: Set up data pipelines to manage the data flow.
• Model Testing and Evaluation: Conducted tests and evaluations of the models. Skills: MySQL, EDA, Scikit-learn, Python, Pipelines, Machine Learning, Trello
Development DevOps