10/28/2026 updated

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Senior Data Engineer & BI Consultant | Python, SQL, PySpark | Azure, Databricks, Power BI

Karachi, Pakistan
Worldwide
B.Com (2007–2009) | Postgraduate Diploma in Computer Science (2018–2019)
Karachi, Pakistan
Worldwide
B.Com (2007–2009) | Postgraduate Diploma in Computer Science (2018–2019)

Profile attachments

Kumail_Raza_Banking_Power_BI_Resume.pdf

About me

I build data pipelines and BI solutions that turn complex data into decisions. 10+ years in data engineering and analytics, using Python, SQL, PySpark, Azure, Databricks and Power BI. Delivered 200+ banking compliance KPIs and enterprise ETL/data models for international clients

Delta LakeBusiness IntelligenceBusiness Intelligence DevelopmentData ModelingData WarehousingData IntelligencePython (Programming Language)Azure SQLMicrosoft Business IntelligenceMicrosoft Power BISQL DatabasesAzure Data FactoryMicrosoft FabricPySparkAzure Data AnalyticsDatabricks
Data Engineering and BI consultant with 10+ years delivering analytics and data-platform solutions for enterprise clients. I design ETL/ELT pipelines, data warehouses and Lakehouse models, and build Power BI reporting that turns business requirements into dependable decisions.
Core tools: Python, SQL/T-SQL, PySpark, Azure, Databricks, Microsoft Fabric, SQL Server, Power BI, DAX, Power Query and Delta Lake. I focus on data quality, performance, governance and maintainable delivery.
Selected impact includes building and validating 200+ banking compliance KPIs, supporting Al Rajhi Bank contact-centre analytics, and delivering BI modernization for regulated clients. I also build applied AI and agentic workflows, and validate code and data with tests, execution-plan checks and pipeline quality controls

Experience

Professional experience10+ years
Freelancer since2011

Languages

EnglishFluent

Project history

Consultant, Revenue Implementation (Part-time)

BGS Consulting

Banking & Financial Services

10-50 team member

Translate accounting policies and contract terms into Chargebee Revenue Recognition rules and automated schedules. Build validation and reconciliation checks, support finance-team UAT, and maintain clear traceability between requirements and system outputs.

Data Architect / AI & Analytics Lead

Getz Pharma

Pharmaceuticals & Medical Technology

250-500 team member

Led analytics-platform architecture across data modeling, governance, and performance. Standardized SQL schemas across departments, with work credited with a reported 35% improvement in data-processing performance. Defined data contracts, validation rules, and ERP-to-analytics reconciliation checks; led engineers and analysts and established coding, review, and deployment practices.

Principal Consultant, Data Engineering & AI Systems

Systems Limited

Internet & IT

5000-10.000 team member

“Designed Azure Databricks lakehouse solutions with PySpark and Delta Lake, including medallion architecture, incremental ELT, and data-quality controls. Led Microsoft Fabric medallion migrations and governance optimization that reduced client licensing costs by 25%. Established testing, code review, monitoring, deployment governance, and pipeline-support standards.

Data Analyst II

Motive

Transport & Logistics

500-1000 team member

Built Python and Apache Airflow CI/CD and ELT workflows, SQL models, and integrations for a sales-performance platform. Added schema validation, error handling, retries, and monitoring for Salesforce and Google Maps APIs, and troubleshot production issues.

Lead Data Analytics Engineer

Colzani S.p.A

Industry & Mechanical Engineering

250-500 team member

Led an on-premises-to-Azure SQL data-warehouse migration using Azure Data Factory. Managed source-to-target mapping, transformations, dependency scheduling, and reconciliation; designed dimensional layers and documented data lineage and transformation logic.

Enterprise Power BI & Azure Analytics Solution

Designed and delivered an enterprise-level analytics platform integrating Azure Data Lake, SQL, and Power BI. Developed optimized data models, automated ETL pipelines, and interactive dashboards for cross-functional teams, improving reporting efficiency by 40% and enabling real-time business insights.

Certificates

AI-900: Azure AI Fundamentals

Microsoft

2025

Analyzing and Visualizing Data with Power BI

Microsoft

2024

AI-102: Azure AI Engineer Associate

Microsoft

2024

Portfolio

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