Available for opportunities

Mohamed
SAIFI

Data Engineer building robust data platforms,
real-time pipelines, and intelligent systems at scale.

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REPOSITORIES

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TOTAL STARS

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LANGUAGES

DATA ENGINEER

// TECH STACK

Apache Kafka

Kafka Connect

Apache Airflow

Snowflake

AWS

Python

dbt

Spark

Change Data Capture

Debezium

Data lakehouse

Delta Lake

Docker

CI/CD

Scikit-learn

PostgreSQL

Terraform

// ABOUT ME

Engineering data at every layer.

I design and implement end-to-end data systems — from raw ingestion pipelines to ML-powered anomaly detection. My work spans real-time streaming architectures, cloud infrastructure on AWS, and production-grade machine learning classifiers.

I'm passionate about making data reliable, observable, and actionable — whether that means building a Snowflake pipeline with Airflow orchestration or deploying a security monitoring stack with Wazuh on AWS.

// EXPERTISE

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Real-time Pipelines

Kafka, streaming architectures, low-latency financial data systems

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Cloud & Infra

AWS services, Terraform, infrastructure as code, security monitoring

🔄

Data Orchestration

Airflow DAGs, Snowflake, dbt, ETL/ELT pipeline design

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ML Engineering

Anomaly detection, SVM classifiers, RAG systems, model pipelines

Mohamed SAIFI

Engineering data at every layer.

Selected Work

Mohamed
SAIFI