Open to opportunities

Ahmed Sallam

@ahmedsallam1

Data Engineer building reliable ETL/ELT and real-time fraud and market pipelines with Python, SQL, Kafka, and Snowflake.

Egypt

Message

What I'm looking for

I’m looking for a role where I can build dependable ETL/ELT and streaming data pipelines—CDC ingestion, orchestration with Airflow, and loading into Snowflake/BigQuery—so analytics teams can use data reliably.

I build production-style ETL/ELT and real-time data pipelines with Python and SQL, then load reliable analytics-ready data into Snowflake and BigQuery. On streaming projects, I’ve set up CDC ingestion (Debezium + Kafka), event enrichment and scoring (Apache Flink), and orchestration with Apache Airflow.

For example, I designed a Real-Time Fraud Detection Data Platform that ingests transactional data from MSSQL, engineers features, and applies ML-based fraud scoring before loading partitioned results into Snowflake using dbt and dimensional modeling. I also built an EGX Big Data Pipeline that combines a medallion data lake on HDFS with PySpark indicator computation and Airflow DAGs to serve live data to Power BI.

Most recently, I worked as an LLM Developer with G2I (remote), refining Python code and rewriting prompts, then evaluating LLM outputs for accuracy and clarity across diverse edge cases.

Experience

Work history, roles, and key accomplishments

Data Engineer

G2I

Sep 2024 - Aug 2025 (11 months)

Supported the training and improvement of AI models by refining responses, rewriting Python code, and optimizing prompt structure. Evaluated large language model (LLM) outputs for accuracy, clarity, and relevance across diverse use cases and edge cases.

Python LLM Prompt Engineering Code Review

Education

Degrees, certifications, and relevant coursework

Canadian International College

Bachelor of Science, Artificial Intelligence

2020 - 2024

Grade: A+

Activities and societies: Intelligent Security System (Graduation Project): Gait recognition, aggressive behavior detection, car license plate recognition, face recognition in crowded environments, fall detection.

Bachelor of Science in Artificial Intelligence with a graduation project on Intelligent Security System, achieving grade A+.