Summary
Work History
Education
Additional Information
Timeline
Generic

Muhammad Hassan

Senior Data Engineer
Lahore

Summary


  • Data Engineer having 8+ years of experience in Manufacturing, Retail and Insurance domains
  • Proven experience on both on premise & cloud ETL tools; Azure Data Factory and SSIS
  • Designed data pipelines to Extract Transform and Load data across various data sources and destinations using SSIS Packages and ADF pipelines
  • Experience in leveraging Databricks for processing large-scale datasets using Apache Spark enabling smooth data transformation and analysis
  • Worked on all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation and support.
  • Developed SQL Server objects including T-SQL queries, stored procedures, user defined functions, cursors and views.
  • Experience in designing and developing intuitive dashboards and reports in Power BI to enable data-driven decision-making across the organization



Work History

Data Engineer Consultant

Skyline Insurance


Industry: Insurance

Tools & Technologies: Power BI, Azure SQL, Azure Data Lake, Azure Data Factory

Responsibilities:

  • Build and designed data warehouse from ground up.
  • Developed Azure Data Factory pipelines to integrate data from different sources such as Azure Storage and Azure SQL into Cloud DWH.
  • Used Mapping Data Flows in Azure Data Factory for data transformation.
  • Parameterize Azure Data Factory linked services and datasets for dynamism.
  • Configured schedule trigger for ADF pipeline execution
  • Created interactive reports and dashboards in Power BI and used visualizations like matrix, pie, bar, tiles, gauge, donut chart, Filters, Parameters and publish on Power BI Service.
  • Used row level security & workspace level security in Power BI to manage security and access rights.



Data Engineer Consultant

Insight Pulse


Industry: Energy

Tools & Technologies: Azure Data Bricks, Azure Data Lake

Responsibilities:

  • Developed and maintained data processing pipelines using Databricks' Apache Spark clusters for smooth and efficiently handling of large-scale data sets.
  • Ingested Json/CSV/Parquet large datasets from Azure Data Lake Storage and analyze and process data as per user requirements
  • Gather requirements from business users and translate them into scalable Databricks workflows.



Data Engineering Consultant

Nova Holdings


Industry: Retail

Tools & Technologies: Azure SQL, Azure Data Factory, Azure Data Lake, Power BI, Azure Key Vault

Responsibilities:

  • Worked through with the management to develop the ingestion and visualization processes for customers by implementing the best practices for security, monitoring, scalability
  • Designed data ingestion and Transformation processes using Azure Data Factory to load data from different data sources.
  • Parameterize ADF linked services and datasets for reusability
  • Integrated Azure Key Vault for security management



ETL Consultant

Wisdom Metrics Ltd


Industry: Retail

Tools & Technologies: SQL Server, SSIS, Power BI

Responsibilities:

  • Implemented star schema in Data warehouse to enhance performance and designed dimension and facts.
  • Data Extraction from various data sources.
  • Developed dashboards in Power BI Desktop and published on Power BI Server.
  • Development of reporting objects like bar chart, line chart, gauge, key performance indicator, hierarchies, filters in accordance with requirements.
  • Development of Measures and Calculated Columns in Power BI Desktop.



Data Analyst

Vertex Group

Industry: Manufacturing

Tools & Technologies: Power BI, SQL Server, SSIS, SSRS, Power Automate, OBIEE 12c, Oracle Database 10g

Responsibilities:

  • Developed intelligence sharing reports/dashboards and providing company wide access to relevant data
  • Developed SSIS packages to Extract, Transform Load (ETL) from staging layer to data warehouse on daily/weekly basis based on requirements
  • Developed SQL scripts for data analysis and transformation
  • Created visualizations using Power BI, OBIEE 12c like pie, bar, clustered, tiles, gauge, donut chart, Filters, Hierarchies, Parameters and publish online.
  • Development of Calculated Columns & Measures in Power BI
  • Used row level security and workspace level security in Power BI to manage security and access rights.
  • Converting existing reports from OBIEE 12c to Power BI
  • Digitized company SOPs approval mechanism using Power Automate

Education

Bachelor of Science - Computer Sciences

NUCES
04.2001 -

Additional Information

Cloud:

Azure SQL, Azure Data Factory, Azure Data Bricks, Azure Data Lake, Power BI, Power Automate


BI Stack:

SQL Server, SSIS, SSRS, SSAS


Oracle Stack:

OBIEE 12c, Oracle Database 10g



Timeline

Bachelor of Science - Computer Sciences

NUCES
04.2001 -

Data Engineer Consultant

Skyline Insurance

Data Engineer Consultant

Insight Pulse

Data Engineering Consultant

Nova Holdings

ETL Consultant

Wisdom Metrics Ltd

Data Analyst

Vertex Group
Muhammad HassanSenior Data Engineer