Hello, I'm Syed Muhammad Mehmam

Data Engineer focused on data pipelines, modeling, and analytics, designing end-to-end solutions that bridge raw data to meaningful intelligence.

View My Work Get In Touch
Syed Muhammad Mehmam
Design
Code
Ideas
Data Engineer

I design reliable ETL pipelines and cloud data systems that turn raw data into powerful insights.

I build data pipelines that seamlessly move information from sources like S3 and APIs into Microsoft Fabric and SQL Warehouses—ensuring every workflow is scalable, efficient, and cloud-native.

Recently, I delivered a lakehouse architecture and automated ETL solution that cut processing time by 75%, empowering teams with faster, real-time analytics and smarter decision-making.

Connect on LinkedIn

Data Engineer

Build Scalable ETL pipelines.

Data Analyst

Make BI Dashboards

Data Architect

Dimensional modeling: fact and dimension tables.

Data Scientist

Build classification and regression models.

BS Computer Science

Sir Syed University of Engineering and Technology

Data Scientist

Predictive models and time series models.

Data Engineer

SQL and Python related ETL pipelines

Fabric Cloud Data Engineer

Certified Fabric Data Engineer. Also work on Azure, AWS and GCP.

Projects

A curated collection of data engineering and analytics projects — including end-to-end ETL pipelines, data warehousing models, cloud integrations, and performance-optimized Spark workflows. Click a card to view the repository or explore the project overview.

  • All
  • Data Engineering
  • Data Science
  • Cloud Project
Project Item

Blood Pressure Analyzer

An ML-powered application that predicts and classifies your blood pressure condition based on simple user inputs through an interactive form.

Machine Learning Python Tkinter
Project Item

Azure Data Migration Pipeline

An end-to-end data engineering solution that seamlessly migrates on-premises data to a modern cloud-based data warehouse on Azure.

Azure Cloud Databricks Data Factory
Project Item

SQL Data Warehouse

A robust data pipeline built in SSMS using the Medallion Architecture (Bronze, Silver, Gold) to ensure clean, reliable, and analytics-ready data.

ETL SQL Medallion Architecture Notion
Project Item

Hospital Data Engineering Pipeline

A data-driven solution that processes hospital records to monitor costs, analyze departmental expenses, and deliver insights for smarter financial decisions.

SQL Data Warehousing SCD2
Project Item

Azure Data Engineering Project

A cloud-native pipeline built on Azure to process and analyze Olympic data, transforming raw datasets into actionable insights for performance and trend analysis.

Data Factory Azure Cloud
Project Item

Smart Occupancy Detection System

An IoT-powered solution that intelligently monitors and analyzes home occupancy in real time for smarter energy management and enhanced security.

Kafka AWS S3 Docker

Skills

Core strengths across data engineering, warehousing, and analytics—focused on building scalable, reliable, and cloud-based data solutions.

Data Engineering

ETL/ELT pipeline design with PySpark, Databricks, and Azure Data Factory; workflow orchestration, data validation, and monitoring.

Cloud & Storage

Hands-on with Azure, AWS (S3, EC2), and Microsoft Fabric—OneLake, Dataflows Gen2, and Pipelines for unified data management.

Data Warehousing

Dimensional modeling, SCD Type 2, fact/dimension design, and performance tuning for BI and analytics workloads.

Analytics & Integration

SQL, Python, Power BI, and Delta-Parquet for data analysis, reporting, and seamless integration across structured sources.

Also: SQL Server, PostgreSQL, DataBricks, Spark optimization, version control (Git), and data quality frameworks.

Resume

View my resume or download the PDF.

View Resume Download PDF

Let’s build with Data

I help teams collect, organize, and optimize their data ecosystems from pipelines to dashboards ensuring reliable, high-quality data for business and AI initiatives. Share a brief on your use case and I’ll get back within 24–48 hours.

Contact Info

For any inquiries, please contact me via email.

Project Inquiries

For engagements, collaborations, and consulting.

Preferred Contact

Email is best for initial scoping or used LinkedIn too.

Happy to schedule a call after your message.

Location & Availability

Remote — Worldwide

Replies within 12–24 hours (business days)