Engineering the infrastructure for high-velocity data.
Senior Data Engineer with 9+ years across data-intensive systems. Designing and operating TB-scale batch, streaming, and lakehouse platforms.




Where I operate
From streaming ingestion to lakehouse modeling and platform reliability — the layers of a modern data platform.
TB-Scale Data Platforms
Designing and operating batch, streaming, and lakehouse platforms end-to-end — from ingestion through analytics- and ML-ready delivery.
Streaming Pipelines
High-throughput ingestion with Kafka Streams and Spark Structured Streaming — decoupling producers from consumers with replay and backpressure control.
Medallion Architecture
Layered bronze / silver / gold data organization for progressive refinement, clear ownership boundaries, and reliable downstream consumption.
Dimensional Modeling
Star schema analytics marts and data vault historization for enterprise dimensions — modeled for both query performance and long-term evolution.
ClickHouse at Scale
Clustered columnar analytics for low-latency queries over billions of rows — schema design, materialized views, and cluster operations.
Hybrid SQL & NoSQL Modeling
Combining relational and document stores to balance transactional consistency with query performance across MSSQL, PostgreSQL, and MongoDB.
dbt & Data Quality
Hybrid data quality framework combining dbt tests (schema, freshness, uniqueness, referential integrity) with custom Python validators.
Workflow Orchestration
Production orchestration on Apache Airflow, plus custom Django- and Celery-based platforms for domain-specific patterns beyond Airflow.
Azure Lakehouse
Building lakehouse workloads on Azure Databricks, ADLS Gen2, and Data Factory — with PySpark transformations and layered storage.
Platform Reliability
Standardized deployment and reliability with Docker, Ansible (IaC), and GitLab CI/CD — production systems built for fault tolerance and recovery.
Observability & Monitoring
Operational visibility using Grafana, Metabase, and the Elasticsearch / Kibana stack — turning pipeline metrics into actionable dashboards.
Team Leadership & Mentoring
Leading a data engineering unit — owning delivery, architecture reviews, code reviews, and cross-team alignment with analytics, product, and data science.
Production Pipelines
Demonstrating expertise in MLOps, ETL architecture, and big data orchestration.
Unit Team Lead
@Etisalat by e& — Sharjah, UAE
Promoted to lead a data engineering unit — owning delivery, architecture reviews, mentoring, and cross-team alignment within the data organization.
Senior Data Engineer
@Etisalat by e& — Sharjah, UAE
Owning platform architecture and production reliability across TB-scale batch and streaming pipelines powering operations, analytics, and AI use cases.
Senior Software Engineer — IoT Data Platform
@Smartkies — Dubai, UAE
Building near real-time IoT data pipelines and hybrid relational / NoSQL data models for high-volume device telemetry and billing workloads.
Software Engineer
@Unifi Solutions — Remote
Building backend services for high-volume financial and transactional data under strict accuracy, validation, and compliance requirements.
Database Administrator
@AYA ISP — Syria
Running production databases with focus on high availability, replication, disaster recovery, and performance tuning.
Academic background
Bachelor of Science in Computer Science
Damascus University — Damascus, Syria
Relevant Coursework