Hi,I'mMariyam Syed
Software Product Engineer with 3.2 years of experience across data engineering, web development, and analytics, building pipelines, solving problems, and delivering decision ready insight from the same dataset.
A little about me
Currently
Software Product Engineer
Nzoo Analytics
Software Product Engineer
I'm Mariyam Syed, a Software Product Engineer working across Data Engineering, Data Analytics, and Web Development. I work with PySpark, SQL, and Azure Synapse to build reliable data pipelines, and with Power BI to turn that data into clear dashboards and reports. I also build web applications end-to-end, from front-end interfaces to backend logic. I enjoy working with teams, communicating clearly, and learning new technologies while building solutions people can rely on.
3.2
Years experience
3+
Projects delivered
Azure · Spark · SQL
Core stack
Where I've worked
Building and maintaining end-to-end data pipelines on Azure, from raw ingestion through to business-ready reporting.
- Developed ETL/ELT pipelines using Microsoft Azure, Azure Synapse Analytics, PySpark, and SQL for data integration and transformation.
- Designed data models using dimensional modeling, star schema, fact tables, and dimension tables to support scalable reporting and analytics.
- Worked with Medallion Architecture (Bronze, Silver, Gold), OLTP/OLAP systems, and COTS products for data integration, transformation, processing, and analytics.
- Developed Power BI dashboards and reports using semantic models, data relationships, calculated measures, and data visualizations for business reporting.
Technologies I work with
Core engineering tools alongside the Azure data-engineering and analytics stack I build with day to day.
Core stack
HTML
CSS
React
Python
Git
Docker
Data engineering & analytics
Azure
Azure Synapse Analytics
Azure Data Factory
ADLS Gen2
PySpark
Apache Spark
Delta Lake
Databricks
Power BI
SQL
Selected projects
A closer look at what I've built.
Analytics Stack
An end-to-end data engineering project built using Azure Synapse, PySpark, and Medallion Architecture. Data is ingested into the Bronze layer, cleaned and transformed in the Silver layer, and business-ready data is prepared in the Gold layer using Delta Lake. Azure Data Lake Storage is used for data storage, Azure Key Vault is used for secure credential management, and Power BI is used for reporting and visualization.
Medallion pipeline
Academic background
2025
Master of Computer Applications (MCA)
IGNOU
2022
B.Sc. in Chemistry
University of Kerala
Let's build something together
Open to data engineering roles and collaborations. Reach out below.
Have a question or an opportunity in mind? Fill out the form and I'll get back to you as soon as I can.