Musaddiq

Microsoft Certified Azure Data Engineer with 5+ years of experience delivering cloud-based data engineering, analytics, business intelligence, and reporting solutions across Banking, Healthcare, Retail, and E-Commerce. Skilled in designing and implementing scalable ETL/ELT pipelines, Data Warehouses, Data Lakes, and Delta Lake architectures using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Microsoft Fabric, Python, PySpark, SQL, and Power BI. Strong track record in stakeholder engagement, requirements gathering, data modelling, cloud architecture, data governance, CI/CD implementation, and production support — translating complex business requirements into secure, scalable data solutions that drive operational efficiency and data-driven decision-making.

Currently seeking Azure Data Engineer, Data Platform Engineer, Cloud Data Engineer, or Analytics Engineer opportunities in the UK.

Azure Data Engineer - NexGen Communications Ltd - United Kingdom

(2025-04)

Banking-focused environment delivering cloud-native data engineering solutions supporting financial reporting, analytics, regulatory compliance, and operational intelligence.

• Collaborated with banking stakeholders, compliance teams, solution architects, and business users to gather requirements and design enterprise-scale data solutions.
• Designed and developed Azure Data Factory pipelines to ingest transactional banking data from APIs, relational databases, and core banking platforms.
• Developed scalable transformation frameworks using Azure Databricks, PySpark, and Spark SQL for processing high-volume financial datasets.
• Built analytical data models within Azure Synapse Analytics supporting customer insights, financial reporting, risk analysis, and operational dashboards.
• Implemented Delta Lake architecture using bronze, silver, and gold layers to improve scalability, governance, and data quality.
• Integrated third-party financial APIs using secure authentication, pagination control, monitoring, retry logic, and exception handling.
• Developed reusable Python frameworks for automated validation, reconciliation, and transformation of banking datasets.
• Created Power BI dashboards supporting loan performance analysis, fraud monitoring, customer activity tracking, and executive reporting.
• Implemented CI/CD deployment processes using Azure DevOps, Git, and automated release pipelines.
• Monitored and optimised production data pipelines, ensuring high availability and reliability of business-critical reporting systems.

Data Analyst - Aspect Tech Solutions

(2024-01 - 2025-02)

• Applied analytical techniques using SQL, Python, Power BI, and Excel to support reporting and business intelligence initiatives.
• Performed data cleansing, transformation, validation, and reporting automation activities.
• Developed dashboards and KPI reports supporting business performance analysis and operational decision-making.
• Strengthened expertise in cloud analytics, data visualisation, and modern reporting frameworks.

Data Engineer Intern - NexGen Communications Ltd

(2023-05 - 2023-11)

E-Commerce analytics environment delivering cloud-based data solutions supporting customer analytics, sales performance monitoring, marketing insights, and business intelligence reporting.

• Collaborated with product owners, analysts, and engineering teams to gather business requirements and design scalable data solutions.
• Built Azure Data Factory pipelines for ingesting customer behaviour, product catalogue, sales, and transactional data.
• Developed PySpark transformation workflows using Azure Databricks to generate customer segmentation, behavioural analytics, and reporting datasets.
• Designed and maintained Azure Data Lake architecture using ADLS Gen2.
• Integrated third-party APIs including payment gateways, logistics providers, and marketing platforms.
• Developed optimised SQL solutions within Azure Synapse Analytics.
• Created Power BI dashboards supporting customer retention, conversion rates, revenue growth, and operational KPIs.
• Managed deployments using Azure DevOps, Git, and CI/CD processes.
• Performed production support, monitoring, troubleshooting, and performance optimisation.

Data Analyst - Feastle Ltd

(2022-03 - 2023-04)

Healthcare analytics environment delivering enterprise data integration, reporting, and cloud data engineering solutions.

• Collaborated with healthcare stakeholders and reporting teams to gather requirements and deliver data-driven solutions.
• Developed ETL pipelines using Azure Data Factory and SSIS to migrate healthcare data from legacy systems into cloud environments.
• Built scalable data processing workflows using Azure Databricks, Spark, Python, and PySpark.
• Designed healthcare-focused Data Warehouse solutions using dimensional modelling and star schema architecture.
• Implemented Delta Lake architecture for historical data management and incremental processing.
• Integrated healthcare APIs and external systems for real-time data acquisition.
• Developed Power BI dashboards supporting patient analytics, billing analytics, resource utilisation, and operational reporting.
• Automated deployments using Azure DevOps CI/CD pipelines.
• Supported production systems through monitoring, troubleshooting, and performance optimisation.

BI Developer - Wipro

(2019-06 - 2021-01)

Retail analytics and business intelligence environment delivering reporting, ETL, dashboarding, and data integration solutions.

• Collaborated with business stakeholders to gather reporting requirements and define KPIs.
• Developed ETL processes using SSIS to integrate data from ERP systems, SQL databases, Excel files, and third-party applications.
• Designed and developed SSRS reports featuring drill-down analysis, scheduled delivery, and parameterised reporting.
• Created interactive dashboards using Power BI and Tableau to support sales analysis, inventory management, and operational reporting.
• Automated data preparation and transformation processes using Alteryx workflows.
• Optimised SQL queries, stored procedures, and database views to improve reporting performance.
• Built dimensional data models using fact and dimension tables supporting enterprise reporting requirements.
• Conducted testing, validation, troubleshooting, and quality assurance activities.
• Prepared technical documentation, ETL mappings, and reporting specifications.

MSc - Data Science and Analytics - University of Hertfordshire (2021 - 2023)

BSc - Computer Science - Jawaharlal Nehru University (2015 - 2019)