I'm a passionate Data Engineer with a proven record of building robust, scalable, and real-time data pipelines and analytics platforms. With experience across multiple domains like financial data, medical data, and AI integration, I thrive in data-intensive environments and love turning raw data into actionable insights.
- 📊 4+ years of experience in data engineering, working with high-volume datasets and real-time data systems.
- ☁️ Skilled in AWS, Snowflake, Kafka, Airflow, Glue, and other cloud-native tools.
- 🧠 I enjoy learning and working in AI, machine learning, and cloud-based data infrastructure.
🔹 Cloud Data Engineer @ Norstella
Working on designing and deploying cloud-native data solutions using AWS services and modern data architecture principles.
🔹 Data Engineer @ OfficeField
Real-time stock & crypto data pipeline development using Kafka & Airflow. Solved scalability issues and enhanced ETL performance.
Languages: Python, SQL, NoSQL, Shell Scripting
Frameworks/Platforms: Apache Airflow, Kafka, AWS Glue, Lambda, S3, Redshift, DynamoDB, Snowflake
Tools & Libraries: Pandas, PySpark, Selenium, Git, Power BI, Tableau, MongoDB, AWS SageMaker
Cloud Platforms: Amazon Web Services (AWS)
🔹 Tradeverse
Real-time stock & crypto analysis platform — built end-to-end ETL & streaming pipelines; collaborated with AI teams for seamless data flow and backend integrations.
🔹 RealT
Implemented a Snowflake-based data warehouse from raw customer data using AWS Glue, Lambda, and Snowpipe for real-time analytics.
🔹 Olympics Data Analysis
Orchestrated ETL workflows using AWS Glue & Snowflake for advanced analytics; improved BI team decision-making by 40%.
🔹 AIverse
Launched a marketplace for AI models using SageMaker, Lambda, and ECR. Enabled API-based model deployment and seamless user experience.
- AWS Data Engineering Master Class – Udemy
- Google Data Analytics Professional Certificate – Coursera
- Certified Power BI & Tableau Data Analyst – DataCamp
- Published Research: XGBoost & Random Forest Analysis – PJOSR
- 🥈 Runner-Up, Envision'22 Data Science Competition (NEDUET)
- 🥇 Winner, National Idea Bank (Provincial Round, 2200+ applicants)
- 🎤 Best Presenter, APICEE’23 — Presented to 10+ industry experts
- 📫 Email: ayanhussain746@gmail.com
- 💼 LinkedIn: linkedin.com/in/ayan-hussain
- 💻 GitHub: github.com/ayanhussain81
- 🐦 Twitter (X): x.com/ayanhussain912
"Turning raw data into powerful decisions — one pipeline at a time."