# Badal Nabizade

> Senior Software Engineer at Microsoft

Location: New York, New York, United States
Profile: https://flows.cv/badal

My interests lie in Software Engineering, Distributed Systems and Machine Learning.

Technical Skills:
- Programming Languages: Python, Java, C#, TypeScript
- Cloud Platform: AWS, Azure
- Technologies & Tools: Kubernetes, Docker, Apache Kafka, Microservices
- Database & Datawarehouse: MongoDB, MySQL, SQL Server, Synapse, Elasticsearch
- Big Data Tools: Apache Spark, BigQuery, Databricks
- Machine Learning & Scientific Computing Library: Scikit-Learn, Spark MLlib, Scipy, NumPy, Pandas
- Web Framework: React, Flask
- Web Scripting Front End: HTML, CSS
- Version Control: Git

GitHub: https://github.com/badalnabizade

## Work Experience
### Senior Software Engineer @ Microsoft
Jan 2024 – Present | New York City Metropolitan Area
Currently tech lead at Yield Analytics/IMF team, overseeing complex inventory & forecasting engineering projects.
- Led proof-of-concepts that are now adopted by the team, became mission critical components and deployed in production.
- Built an orchestration engine that is currently responsible for orchestrating the core processing logic of the forecasting.
- Built the new cloud based infrastructure of the Yield Analytics/IMF using IaC.
- Laid out the ground work for zero-trust security framework by integrating Entra ID managed identities across system components, enabling password-less authentication.
- Redesigned several big data processing jobs that reduced processing times and unblocked high-volume client onboarding.
- Drove platform adoption by creating team specific documentation for internal big data platforms such Spark, HDFS, and Kafka, accelerating team velocity.

### Software Engineer @ Microsoft
Jan 2021 – Jan 2024 | New York City Metropolitan Area

### Data Engineer @ Helbiz
Jan 2020 – Jan 2021 | Greater New York City Area

### Data Science Intern @ OpenSponsorship
Jan 2019 – Jan 2020 | Greater New York City Area
• Produce customer churn analysis and customer segmentation which directly impacted business decisions.

• Create and maintain customized Tableau dashboards on athlete profiles sent to clients like Anheuser-Busch and Nike.

• Work directly with CEO and Lead Engineer to analyze relationships between athletes and brands.

### Data Scientist @ By Ulu
Jan 2018 – Jan 2019 | Baku
* Created an interpretable model to minimize transportation cost of furniture. Led to minimizing costs by 20 %.

* Produced target customer segmentation through cluster analysis. This led to specific suggestions for improving our marketing campaigns, which ultimately increased the company's profits by 7 % by the end of the year.

* Built interactive data visualization dashboards to communicate the insights provided from market research and predictive models to the stakeholders.


## Education
### Bachelor of Science - BS in Economics
Akdeniz University
Jan 2015 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/badalnabizade

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Source: https://flows.cv/badal
JSON Resume: https://flows.cv/badal/resume.json
Last updated: 2026-03-22