Azure Data Engineer • ETL/ELT • REST APIs • Power BI
Darpen
Bhandari
Azure Data Engineer building ETL/ELT pipelines, REST API integrations and reporting-ready data layers across finance and healthcare domains using Python, SQL, Azure Data Factory, Azure Data Lake, Azure DevOps and Power BI.
5
Years Experience
22
Financial Applications Supported
20%
Less Weekly Reporting Effort
// ABOUT
Who I Am
I am a Data Engineer based in Mannheim, Germany with around 5 years of experience building data pipelines, API-based integrations and analytics-ready datasets across finance, healthcare and applied data projects. My work focuses on connecting operational systems, cleaning and transforming raw data and designing reliable data layers that support reporting, KPI tracking and business decision-making. I mainly work with Python, SQL, Azure Data Factory, Azure Data Lake, Azure SQL, REST APIs, Azure DevOps and Power BI. I enjoy working at the point where engineering, data quality and business reporting meet: turning scattered source data into structured, validated and reusable datasets that teams can trust. I am currently open to full-time Data Engineering, Azure Data Engineering, ETL/ELT and BI Engineering roles across Germany and Europe.
// EXPERIENCE
Professional Experience
Data and System Analytics Associate
Universitätsklinikum Heidelberg | Heidelberg, Germany
- Built automated ETL workflows integrating Matrix42 ticketing data and qTest QA data through REST APIs, Python and SQL transformations.
- Created structured datasets for incident analytics, service request tracking, test reporting and SLA monitoring.
- Reduced weekly manual reporting effort by 20% by replacing repeated Excel exports with reusable data preparation workflows.
- Supported the migration of flat-file reporting workflows toward Azure Data Lake and Azure Data Factory-based incremental loading.
- Prepared Power BI-ready KPI datasets to track SLA breaches, recurring incidents and service demand patterns.
Senior Software Engineer - Data Engineering Focus
Hexaware Technologies Pvt Ltd. | Navi Mumbai, India
- Supported end-to-end data delivery for 22 financial applications across trade, portfolio, pricing, compliance and reporting domains.
- Built ADF-based ETL pipelines using Azure Data Lake, Azure Storage, SQL validation checks and Azure DevOps CI/CD workflows.
- Automated Excel-based reporting for AUM, portfolio exposure and performance views into Power BI-ready datasets.
- Saved around 10 hours of weekly reconciliation effort for investment analytics teams by improving reporting data preparation.
- Organized pipeline outputs into raw, processed and curated Azure Data Lake layers to improve data accessibility and reduce manual data handling.
// PROJECTS
Featured Project
Power BI • DAX • Power Query • Healthcare Analytics
Stroke Risk Analytics Dashboard
Built an interactive Power BI dashboard using a healthcare dataset of 5,110 patients to analyze stroke risk factors, demographic trends and health-related KPI patterns.
What I built
I designed a Power BI dashboard with KPI cards, age-group analysis, BMI category views, smoking-status breakdowns and health-risk comparisons to make patient-level insights easier to understand.
Why it matters
The dashboard helps highlight how stroke risk patterns relate to age, hypertension, heart disease, BMI, glucose levels and smoking status, turning healthcare data into a clearer reporting view.
// SKILLS
Skill Levels
// DATA ENGINEERING
// CLOUD & DATA PLATFORMS
// ANALYTICS & BI
// LANGUAGES
// VALUE
What I Bring
Data Pipeline Ownership
I build ETL and ELT workflows from source integration to reporting-ready datasets, with attention to automation, validation and maintainability.
Azure Data Engineering
I work with Azure Data Factory, Azure Data Lake, Azure Storage and CI/CD-supported workflows to create reliable cloud-based data pipelines.
Business-Focused Reporting
I prepare structured datasets and KPI layers that help teams monitor service demand, SLA trends, portfolio views and operational performance.