UMAIR NAWAZ

Cloud Data Engineer

Certified Data Engineer with hands-on experience in building and optimizing ETL pipelines, real-time data streaming, and cloud-native solutions. Proficient in AWS, Apache Spark, Kafka, Airflow, and Snowflake. Passionate about designing scalable data architectures that drive actionable insights and business impact.

Experience

Lead Instructor, Cloud Data Engineering

Aug 2025 - Present

Saylani Mass IT Training (SMIT)

Design and deliver a comprehensive Cloud Data Engineering curriculum covering Python, EDA, web scraping, SQL, Kafka, AWS, Airflow, and Snowflake. Mentor 60+ students, many from non-IT backgrounds, simplifying complex data engineering concepts through hands-on projects. Guide learners through real-world case studies, including building ETL pipelines, cloud-native architectures, and real-time data flows. Develop project-based learning modules to strengthen problem-solving and industry readiness, and organize hackathons where students apply their skills under real-world conditions.

Data Engineer

May 2025 - Jul 2026

Curve Digital Solutions

Spearheaded the optimization of a large-scale ETL pipeline, reducing execution time by over 80% through SQL restructuring and in-memory data transformations with Python and Polars. Built real-time data streaming pipelines using Apache Kafka to support event-driven architecture with sub-second latency. Leveraged Apache Spark for large-scale processing by tuning job configurations and applying custom partitioning and caching, improving performance by 50%. Automated complex workflows using Apache Airflow, achieving 100% scheduling reliability with built-in monitoring and alerting. Collaborated with data scientists to productionize machine learning models, improving scalability and deployment speed.

Cloud Data Engineer

Jan 2024 - May 2025

Saylani Tech

Designed and implemented scalable ETL pipelines using Apache Airflow and Apache Spark to automate the ingestion and transformation of large datasets. Developed optimized data models in Snowflake, significantly improving query performance and enabling real-time business insights. Built cloud-native solutions using AWS services like S3, Lambda, and Kafka to ensure reliable and efficient data processing. Ensured data integrity and accuracy through validation pipelines and collaborated with cross-functional teams to deliver end-to-end data solutions for analytics and reporting.

Loading Experiences...

Events & Leadership

Founder Talk Session with Mr. Bilal Hasan

Nov 2026

Organizer

Led the Entrepreneurship Society team as a president in organizing the event from start to finish. Invited Mr. Bilal Hasan as the guest speaker and confirmed the session topics, prepared the concept paper, opened student registrations, and coordinated the poster, venue setup and certificates with the team. On the day, we hosted his session on building teams, owning your future, and mastering corporate success and mental health, followed by a Q&A with students.

View post

Pitch Deck Sprint

Oct 2026

Winner

Teamed up with two other students as Campaign Compass, and had 90 minutes to turn an idea into a business. We designed a one-click marketing SaaS where companies run campaigns, upload files, connect through FTP, and track delivery, clicks, purchases and audience interest. We mapped the whole model on a single Business Model Canvas, including a usage-based monthly subscription, and pitched it in 2 minutes to a panel of faculty judges. Our team won.

View post

Loading Events & Leadership Experiences...

Featured Projects

DataPulse: Real-Time Serverless Data Ingestion Pipeline

DataPulse automates real-time ingestion and processing of financial, crypto, and forex data using AWS Lambda, EventBridge, S3, SNS, and SQS, with optional transformations.

Details

Real-Time Stock Market Data Pipeline

Built a real-time data pipeline for stock market data. It integrates Apache Kafka for data streaming and multiple AWS services for data storage and querying.

Details

Real-Time Data Pipeline with SCD Implementation

Developed an end-to-end data pipeline that generates synthetic data using Python, extracts and transfers it via NiFi to S3, and ingests it into Snowflake using Snowpipe, with SCD Type 1 & 2 implementations for effective data tracking and management.

Details

Real Estate Data Pipeline

This project implements a scalable data pipeline to extract, transform, and load real estate data from Redfin into Snowflake using AWS services. The data is later visualized in Power BI to provide insights into real estate trends.

Details

Loading Projects...