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Zakaria Abdelmoumen KERMOUCHE

@zakariaabdelmoumenke

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Data Engineer specializing in telecom streaming pipelines and fraud analytics.

Algeria

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What I'm looking for

I’m looking to build production-grade real-time and batch data platforms in telecom or similar high-impact domains—owning Kafka/Spark streaming, reliability (watermarks, checkpointing), and scalable deployments with Docker, Kubernetes, and CI/CD.

I’m a Data Engineer with over 4 years of experience designing and industrializing large-scale data pipelines, including 3 years in production on real-time streaming systems (Kafka + Spark Structured Streaming) in the telecom sector. I focus on building reliable batch and streaming architectures that support critical fraud detection and analytics at scale.

In production, I’ve delivered telecom use cases like SIMBOX fraud detection, SIM cloning, real-time CDR analysis, and billing & revenue analytics. I designed and deployed a unified real-time and batch telecom data platform (NiFi → Kafka → Spark Structured Streaming) with a production SLA < 10 minutes.

I’m especially hands-on with streaming correctness and operations—watermarks, sliding windows, offsets, checkpointing, and fault-tolerant recovery. I also industrialize delivery with Docker and Kubernetes, automate deployments with CI/CD via GitLab, and support analytics teams with Superset dashboards and enterprise ETL/ELT via Informatica.

Experience

Work history, roles, and key accomplishments

Data Engineering Consultant

Horiatech

Aug 2025 - Jan 2026 (5 months)

Optimized PostgreSQL performance using advanced indexing and partitioning, and audited SQL execution plans to remove production bottlenecks. Redesigned data models to improve scalability and reduce downstream processing failures.

PostgreSQL SQL Optimization Indexing Partitioning Data Modeling Performance Tuning

Data Engineer - Big Data

Djezzy OTA

Aug 2022 - Jul 2025 (2 years 11 months)

Designed and deployed a unified telecom real-time and batch data platform using NiFi, Kafka, and Spark Structured Streaming with production SLA for streaming analytics. Built pipelines for fraud detection, billing/revenue analytics, and operational customer usage analysis, and industrialized deployments and dashboards for telecom KPIs.

Apache NiFi Apache Kafka Spark Structured Streaming Pyspark Kafka Offsets HDFS Checkpointing Teradata SQL Optimization Docker Kubernetes CI CD Gitlab Apache Superset ETL ELT Data Governance Data Quality Sliding Window

Web & ML Developer (R&D)

Centre R&D Gendarmerie Nationale

Sep 2021 - Jun 2022 (9 months)

Developed Python/SQL data pipelines for extracting, cleaning, and transforming data to support ML training. Built feature engineering and XGBoost predictive models, and delivered secure Python APIs for real-time ML predictions with reproducible Git-based workflows.

Python SQL Data Pipelines Data Cleaning Feature Engineering XGBoost Git