✓ Open to New Opportunities

Zain Ul
Abdeen Alvi

Data Engineer · AI Engineer · Pipeline Architect

Architecting end-to-end streaming and batch pipelines that transform high-velocity data into actionable insights. Building production-grade systems at scale.

8+
Projects Delivered
3
Training Programs
100k+
Events/sec Handled
Zain Ul Abdeen Alvi
📍 Karachi, Pakistan
Apache Kafka
Databricks
Delta Lake
AWS Kinesis
Spark Streaming
Apache Airflow
Snowflake
MongoDB Atlas
Elasticsearch
BigQuery
TensorFlow
Python
Docker
Prefect
Apache Kafka
Databricks
Delta Lake
AWS Kinesis
Spark Streaming
Apache Airflow
Snowflake
MongoDB Atlas
Elasticsearch
BigQuery
TensorFlow
Python
Docker
Prefect
Experience

Work History

Training programs, bootcamps, and real-world engineering projects.

AI Engineering Training
Samsung AI Innovation Campus × UIT Karachi
Jan 2026 – Apr 2026
  • Designed and deployed 5+ end-to-end AI models using Python, scikit-learn, TensorFlow — achieving 92%+ accuracy on classification tasks.
  • Applied statistical foundations including linear algebra, probability theory, and gradient-based optimization.
  • Delivered fully documented AI projects in a nationally recognized competitive program.
Data Engineering BootCamp
Core Data Engineers — Berlin, Germany
Aug 2025 – Dec 2025
  • Completed production-grade bootcamp covering ETL/ELT architecture, data warehousing, and distributed cloud platforms.
  • Architected and delivered 8+ end-to-end data projects using SQL, Python, Apache Airflow, and AWS in agile sprint cycles.
  • Trained alongside a Berlin-based cohort, replicating European data team workflows and standards.
Data Engineering Training
Saylani Mass IT Training
Nov 2024 – Jun 2025
  • Built 3+ end-to-end ETL pipelines eliminating 40+ hours/month of manual data processing.
  • Implemented workflow orchestration using Apache Airflow and Prefect across AWS and GCP (BigQuery).
  • Achieved 35% faster analytical queries via schema optimization on Snowflake and Databricks.
Projects

Featured Work

Production-grade data engineering and AI systems.

01
Customer Complaint Pipeline

Medallion architecture (Bronze/Silver/Gold) on Databricks with AWS Kinesis. Reduced report generation from 6 hours to 15 minutes. Near real-time latency under 2 minutes.

AWS Kinesis Databricks Delta Lake DLT
02
Telematics Data Lakehouse

Real-time streaming pipeline ingesting 50+ MB/sec of telematics data into Databricks Delta Lakehouse. 99.8% data accuracy with full medallion architecture.

AWS Kinesis Delta Live Tables Databricks
03
Real-Time Event Pipeline

End-to-end streaming handling 100k+ events/second using Kafka and Spark Structured Streaming. Elasticsearch + Kibana dashboards with under 500ms query latency.

Apache Kafka Spark Streaming MongoDB Atlas Elasticsearch
Skills

Technical Stack

Tools and technologies I use to build scalable systems.

Data Engineering
Apache Kafka Apache Airflow Prefect Databricks Delta Lake Spark Streaming ETL/ELT
Cloud Platforms
AWS Kinesis AWS S3 GCP BigQuery Docker
Storage & Warehousing
Snowflake BigQuery MongoDB Atlas Elasticsearch
AI & Machine Learning
scikit-learn TensorFlow Neural Networks pandas NumPy
Programming
Python SQL NoSQL Git / GitHub
Certifications

Credentials

Recognized programs and professional certifications.

🎓
Google Data Analytics Professional
Google
🤖
Certificate in Artificial Intelligence
Samsung AI Innovation Campus
💼
Google Soft Skills Programme
Google

Let's Connect

Open to Data Engineering, AI Engineering, and Analytics roles — Pakistan or remote (Europe).