Asad Rehan, Developer in Brussels, Belgium
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Asad Rehan

Bio

Asad is a senior data engineer specializing in Microsoft Fabric, Databricks, and modern data platforms. He designs scalable data architectures, builds robust ETL pipelines, and delivers real-time analytics solutions. With experience across banking, healthcare, and enterprise domains, he helps organizations modernize legacy systems and turn data into reliable, actionable insights.

Portfolio

National Bank of Belgium
Databricks, ETL, PySpark, Microsoft SQL Server...
Digifloat
Fabric, Oracle R, Microsoft SQL Server, ETL, Big Data, Microsoft Power BI...
3Cloud
Fabric, ETL, PySpark, Data Engineering, ETL Pipelines, Azure...

Experience

  • ETL - 5 years
  • Microsoft SQL Server - 5 years
  • Microsoft Power BI - 3 years
  • Microsoft Azure - 3 years
  • PySpark - 3 years
  • Fabric - 3 years
  • Databricks - 2 years
  • Talend ETL - 2 years

Preferred Environment

Fabric, Databricks, Microsoft Azure, Microsoft Power BI, Amazon, Google Cloud, Microsoft SQL Server, Vertica, Microsoft Fabric

The most amazing...

...project I've delivered was a full Microsoft Fabric platform, migrating complex legacy systems into a unified, scalable lakehouse.

Work Experience

Data Engineer (Databricks Consultant)

2025 - PRESENT
National Bank of Belgium
  • Led the migration of legacy SQL Server pipelines to Databricks, improving processing performance by 40% and reducing failures.
  • Designed scalable ETL workflows integrating multiple data sources, enabling centralized analytics across business units.
  • Optimized data transformations using Spark, reducing execution time and lowering compute costs by 30%.
  • Implemented Delta Lake architecture to ensure data consistency, versioning, and reliable downstream reporting.
  • Built automated data pipelines with Apache Airflow, reducing manual intervention and increasing pipeline reliability.
Technologies: Databricks, ETL, PySpark, Microsoft SQL Server, SAP BusinessObjects Data Service (BODS), Data Engineering, ETL Pipelines, Azure, Medallion Architecture, Microsoft Entra ID, Python, CSV File Processing, Data Cleaning, Query Optimization, Data Validation, Data Visualization, Large Data Sets, Performance Optimization, Delta Lake, Data Analysis, Data Pipelines, Data Warehousing, Data Cleansing, Financial Data, DataOps, Quality Assurance (QA), Pytest, Apache Spark, Cloud, Data Lakes

Senior Data Engineer

2024 - 2025
Digifloat
  • Led a team of 4 data engineers to deliver a full Microsoft Fabric platform for an enterprise client.
  • Migrated legacy Azure Synapse dataflows to Fabric, improving pipeline efficiency by 35%.
  • Designed end-to-end data architecture, ensuring scalability, governance, and secure data access.
  • Standardized ETL pipelines and data models, reducing inconsistencies and improving data quality.
  • Built a Power BI reporting layer, enabling real-time insights for business and operational teams.
  • Collaborated with stakeholders to align technical solutions with business goals and reporting needs.
Technologies: Fabric, Oracle R, Microsoft SQL Server, ETL, Big Data, Microsoft Power BI, Data Engineering, ETL Pipelines, Azure, Medallion Architecture, Microsoft Entra ID, Microsoft Fabric, Modeling, OLAP, API Integration, Data Cleaning, Query Optimization, Data Modeling, Data Validation, Data Visualization, JSON, Large Data Sets, Performance Optimization, Delta Lake, DAX, Data Analysis, Data Pipelines, Data Warehousing, Data Cleansing, DataOps, Quality Assurance (QA), Pytest, Apache Spark, Cloud, Data Lakes

Senior Data Engineer

2024 - 2024
3Cloud
  • Designed and built end-to-end data pipelines integrating SQL Server, Oracle, and JSON sources across regions.
  • Led data engineering efforts in a small team, ensuring scalable and reliable data processing solutions.
  • Implemented advanced data transformations, improving pipeline performance and reducing processing time.
Technologies: Fabric, ETL, PySpark, Data Engineering, ETL Pipelines, Azure, Medallion Architecture, Microsoft Entra ID, Microsoft Fabric, Modeling, OLAP, Data Cleaning, Query Optimization, Data Modeling, Data Validation, Data Visualization, Large Data Sets, Performance Optimization, Delta Lake, DAX, Data Analysis, Data Pipelines, Data Warehousing, Data Cleansing, DataOps, Quality Assurance (QA), Cloud

Senior Data Engineer

2023 - 2024
Tkxel
  • Developed ETL pipelines using SQL and Python, enabling efficient data ingestion and transformation workflows.
  • Designed and maintained data warehouse models, improving reporting performance and data accessibility.
  • Built and scheduled Apache Airflow DAGs, automating data workflows and reducing manual intervention.
  • Optimized SQL queries and data processes, improving execution time and overall system performance.
Technologies: Fabric, Databricks, PySpark, Microsoft Power BI, Business Intelligence (BI), Data Engineering, ETL Pipelines, Azure, Medallion Architecture, Microsoft Entra ID, Microsoft Fabric, Modeling, OLAP, PostgreSQL, Data Cleaning, Query Optimization, Data Modeling, Data Validation, Data Visualization, Large Data Sets, Performance Optimization, Delta Lake, DAX, Data Analysis, Data Pipelines, Data Warehousing, Data Cleansing, Quality Assurance (QA), Cloud

Data Engineer

2022 - 2023
Tenx Ai
  • Built and maintained ETL pipelines using SQL and Python, ensuring reliable data ingestion and transformation.
  • Designed data warehouse schemas, improving data organization and enabling efficient reporting.
  • Optimized SQL queries and workflows, reducing execution time and improving performance.
  • Integrated multiple data sources into centralized systems, ensuring data consistency and accuracy.
Technologies: Talend ETL, Vertica, Microsoft Power BI, SQL, Data Engineering, ETL Pipelines, Microsoft Entra ID, Google Cloud Platform (GCP), Google BigQuery, Data Cleaning, Query Optimization, Data Validation, Data Visualization, Large Data Sets, DAX, Data Analysis, Data Pipelines, Data Warehousing, Data Cleansing, Financial Data, Quality Assurance (QA), Cloud

Experience

Instruments Fabric End-to-end Project

I designed and delivered an end-to-end enterprise data platform using Microsoft Fabric, integrating data from multiple ERP systems across regions, including SQL Server, Oracle, MySQL, and APIs. I implemented a medallion architecture (bronze, silver, gold) with scalable ingestion pipelines that support both full and incremental loads, using watermarking strategies.

This project involved building robust transformation layers with dimensional modeling, enabling clean and analysis-ready datasets for reporting. I developed automated orchestration pipelines and CI/CD workflows using Azure DevOps to ensure reliable deployments across development and production environments.

I also enabled real-time analytics through Power BI by designing optimized semantic models, implementing row-level security, and supporting multi-currency reporting. This solution centralized data, improved reporting accuracy, and significantly enhanced decision-making across business teams.

Education

2017 - 2021

Bachelor's Degree in Computer Engineering

Comsats University Islamabad - Lahore, Pakistan

Skills

Libraries/APIs

Fabric, PySpark

Tools

Microsoft Power BI, Pytest, Talend ETL

Languages

SQL, Python, Java 16

Paradigms

ETL, Business Intelligence (BI), OLAP

Platforms

Databricks, Microsoft Fabric, Azure, Amazon, Google Cloud Platform (GCP)

Storage

Microsoft SQL Server, PostgreSQL, Data Validation, Data Pipelines, Vertica, Microsoft Entra ID, JSON, Data Lakes, Google Cloud

Frameworks

Apache Spark

Other

Microsoft Azure, Data Engineering, ETL Pipelines, Data Modeling, Data Warehousing, DataOps, Quality Assurance (QA), Physics, Medallion Architecture, Modeling, CSV File Processing, Data Cleaning, Query Optimization, Data Visualization, Large Data Sets, Performance Optimization, Delta Lake, DAX, Data Analysis, Data Cleansing, Financial Data, Cloud, SAP BusinessObjects Data Service (BODS), Oracle R, Big Data, API Integration, Google BigQuery

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