Experienced Data Engineer with over 6 years of hands-on expertise in designing, building, and optimizing scalable cloud data architectures, enterprise ETL/ELT pipelines, and database migration solutions. Proven track record in orchestrating dynamic, metadata-driven ingestion frameworks on Azure, leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure Databricks (PySpark & SQL). Adept at complex database migrations, schema transformation, performance tuning, and establishing robust control frameworks for production monitoring and auditability. Seeking challenging Data Engineering or Cloud Infrastructure roles within Saudi Arabia to drive data modernization and high-performance analytics.

Core Technical Skills

Cloud Platforms & Orchestration: Azure (ADF, ADLS Gen2, SHIR, Azure SQL, Blob Storage), Databricks

Big Data & Processing: PySpark, Spark SQL, Delta Lake, Parquet, Data Lakehouse Architecture

ETL/ELT Frameworks: Metadata-Driven Pipelines

Database & Migration: MySQL, Microsoft SQL Server, PostgreSQL, Schema Drift Management, Database Migration

Data Warehousing & BI: Delta/Curated Zones, Stored Procedures

Languages & Formats: Python (PySpark), SQL, JSON, CSV, Parquet.

Recent Project

ExperienceEnterprise Metadata-Driven Ingestion & Database Migration PlatformMetadata-Driven Pipeline Architecture:
Architected an end-to-end, metadata-driven ETL pipeline on Azure Data Factory to ingest multi-source data (CSV, Excel, JSON, REST APIs, and MySQL) into ADLS Gen2 without hardcoded logic.

4-Layer Pipeline Hierarchy:
Designed a modular pipeline hierarchy (Master rightarrow Source Type rightarrow Cloud Provider rightarrow File Type) using nested Lookup and Switch activities driven by SQL configurations to trigger downstream Databricks processing.

Database Migration & Secure Extraction:
Executed secure database migration strategies, implementing Self-Hosted Integration Runtime (SHIR) with ADF to seamlessly extract transactional data from MySQL databases into Azure Cloud infrastructure.
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