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Syed Zaheer Ul Hassan shahSoftware engineering
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As a skilled data engineer with years of experience in the field, I have a deep understanding of the latest trends and technologies in data science, analytics, and machine learning. I've worked on a wide range of projects across various industries, from healthcare and finance to retail and manufacturing. This broad exposure has given me a unique perspective on the challenges and opportunities that organizations face in today's data-driven world.
But my passion for data doesn't stop at work. In my free time, I enjoy reading up on the latest research in the field, attending conferences and meetups, and tinkering with my own personal projects. I'm always eager to learn and share my knowledge with others, which is why I decided to pursue a career in teaching.
As a teacher, I bring this same passion and expertise to the classroom. I'm dedicated to helping my students master the core concepts and tools of data engineering, from data modeling and ETL to data warehousing and data visualization. But I also recognize that data engineering is not just about technical skills - it's also about communication, collaboration, and creativity. That's why I strive to create a supportive and inclusive learning environment that encourages my students to explore their own ideas and perspectives.
So whether you're a seasoned data professional looking to deepen your skills or a newcomer to the field seeking to break in, I have the expertise, experience, and passion to help you succeed. Join me today and start your journey towards a brighter, more data-driven future!
Subjects
Database Development Beginner-Expert
Python Basics Beginner-Expert
Experience
Data /engineer (Nov, 2018–Present) at Tkxel Lahore
• Designing and developing data infrastructure, including data pipelines, data warehouses, and other data-related systems, to support efficient data collection, storage, and analysis. • Ensuring high data quality and consistency through the implementation of data governance policies, data validation processes, and data quality checks. • Collaborating closely with cross-functional teams, such as data scientists, analysts, and business stakeholders, to understand their data needs and design effective solutions to meet those needs. • Optimizing the performance and scalability of the data infrastructure by identifying and resolving bottlenecks, optimizing queries, and managing system resources.
Education
Computer engineering (Sep, 2014–Jun, 2018) from NUST, Islamabad Pakistan