Elnazossadat Hosseininia-Analytics Engineering | Data Engineering | Automation & Scalable Data Pipelines
Check rate
Experience
Data Analyst
Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Senior Software Developer – Data & Reporting Systems
IRISA (International Systems Engineering & Automation) Company
- Developed enterprise reporting systems using Oracle, PL/SQL, and JavaScript, supporting 10+ internal business applications.
- Optimized complex SQL queries in Oracle, delivering strong business impact by reducing average query runtime by 60%.
- Integrated data from flat files and external databases into centralized systems using PL/SQL, ensuring end-to-end data pipeline ownership across multiple systems.
- Built financial analysis reports in Oracle BI, enabling data-driven decision support that reduced expenses by 18–25%.
- Participated in end-to-end software lifecycle delivery (requirements → development → deployment), contributing to 8+ enterprise-scale reporting projects.
Azure Cloud Data Warehouse & P&L Forecasting Platform
- Designed a cloud data warehouse on Microsoft Azure using Azure Data Factory and Azure SQL.
- Implemented dimensional data modeling and automated ELT pipelines for financial analytics.
- Developed P&L forecasting models and Power BI dashboards with CI/CD deployment via Azure DevOps.
Bridging Natural Language and Databases: LLM-to-PostgreSQL Query Generation
Developed an LLM-powered solution with PostgreSQL, Grafana, and Ollama to generate dashboards from natural language, enabling non-technical users to create insights without SQL.
Ecommerce Sales & Financial Performance Dashboard
- Built an end-to-end finance analytics solution using PostgreSQL, SQL, and Power BI.
- Implemented SQL data modeling, ETL pipelines, and A/B test analysis for analytical datasets.
- Developed P&L forecasting and financial KPI dashboards including revenue, balance sheet, and profit margin analysis.
End-to-End Weather Analytics Pipeline with Microsoft Fabric, Databricks & Apache Airflow
Built a weather analytics pipeline using Databricks Medallion Layers (Bronze, Silver, Gold) with external weather APIs. Orchestrated hourly workflows using Apache Airflow and visualized in Power BI dashboards.
Kafka-Driven MLOps System with Node-RED, FastStream, MLflow & InfluxDB in university project
Developed a scalable, real-time MLOps pipeline with Node-RED, Kafka, FastStream, MLflow, and InfluxDB, aligned with Industry 4.0 standards for adaptive ML deployment.
Real-Time Data Pipeline on Google Cloud Platform
- Built an event-driven ingestion architecture using Google Pub/Sub to decouple data producers from downstream processing systems.
- Implemented stream processing using Apache Beam on Google Dataflow (Python) to transform, validate, and enrich streaming events.
- Loaded processed data into BigQuery analytics tables designed using dimensional modeling (star schema) to support scalable analytical queries and reporting workloads.
- Built Tableau dashboards for data visualization.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology and Healthcare.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Product Development, and Finance.
Summary
I am a Data and Analytics Engineer with more than 10 years of experience across software engineering, data analysis, and business intelligence. I am skilled in building scalable data pipelines and analytics platforms using Snowflake, dbt, Databricks, Apache Airflow, SAP HANA, Tableau, and Power BI. I also have experience in designing ELT workflows, real-time streaming architectures, and cloud-based data platforms using Kafka, Microsoft Azure, GCP (Pub/Sub, Dataflow, BigQuery), and Microsoft Fabric (end-to-end analytics platform). At Siemens Healthineers, I contributed to the digitalization of Finance & Controlling analytics by automating data pipelines, developing enterprise dashboards, and migrating analytics logic into dbt-based transformation layers.
Skills
- Bi & Analytics: Power Bi (Data Modeling, Dax, Report Optimization), Oracle Bi, Advanced Excel, Enterprise Bi Architecture, Microsoft Fabric (Power Bi Integration, Semantic Models)
- Analytics Engineering & Data Modeling: Dbt, Elt/Etl Pipelines, Data Warehousing, Data Marts, Dimensional Modeling (Star Schema), Data Governance & Data Quality
- Databases & Warehouses: Snowflake, Bigquery, Azure Sql, Postgresql, Oracle, Sap Hana
- Data Engineering: Apache Kafka, Google Pub/Sub, Apache Beam, Google Dataflow, Batch & Streaming Data Pipelines, Rest Api, Databricks, Apache Airflow, Pacs Integration, Orthanc Dicom Server
- Programming & Query Languages: Sql (Advanced), Python, Pl/Sql
- Cloud & Devops: Google Cloud Platform (Gcp), Microsoft Fabric (Onelake, Synapse, Data Factory, Real-Time Analytics), Microsoft Azure (Data Factory, Azure Sql, Blob Storage), Ci/Cd (Azure Devops), Docker, Git
- Finance Analytics: P&L Modeling, Revenue Forecasting, Kpi Systems, Cost Optimization
- Business & Analytics Strategy: Stakeholder Management, Business Requirement Analysis, Decision Support
Languages
Education
Friedrich-Alexander-Universität Erlangen-Nürnberg
M.Sc. · Artificial Intelligence · Germany
Najafabad Islamic Azad University
B.Sc. · Computer Engineering – Software · Isfahan, Iran, Islamic Republic of
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Elnazossadat is based in Nuremberg, Germany.
Elnazossadat speaks the following languages: German (Advanced), English (Advanced).
Elnazossadat has at least 12 years of experience. During this time, Elnazossadat has worked in at least 2 different roles and for 2 different companies. The average length of individual experience is 6 years. Note that Elnazossadat may not have shared all experience and actually has more experience.
Based on recent experience, Elnazossadat would be well-suited for roles such as: Data Analyst, Senior Software Developer – Data & Reporting Systems, Azure Cloud Data Warehouse & P&L Forecasting Platform.
Elnazossadat's most recent position is Data Analyst at Siemens Healthineers.
In recent years, Elnazossadat has worked for Siemens Healthineers and IRISA (International Systems Engineering & Automation) Company.
Elnazossadat is most experienced in industries like Information Technology and Healthcare.
Elnazossadat is most experienced in business areas like Business Intelligence, Information Technology, and Product Development. Elnazossadat also has some experience in Finance.
Elnazossadat has recently worked in industries like Information Technology and Healthcare.
Elnazossadat has recently worked in business areas like Business Intelligence, Information Technology, and Product Development.
Elnazossadat holds a Master in Artificial Intelligence from Friedrich-Alexander-Universität Erlangen-Nürnberg and a Bachelor in Computer Engineering – Software from Najafabad Islamic Azad University.
The availability of Elnazossadat needs to be confirmed.
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