Usman Khan
Microsoft Certified Trainer, Senior Data Engineer, Azure & AWS Certified, Gold Ambassador (MLSA) @ Microsoft, Former GDSC Lead
Islamabad, Pakistan
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Usman Khan is a Senior Data Engineer with a wealth of experience in building enterprise systems for the past 4 years. He is a Microsoft Certified Trainer and a Regional Lead (Gold MLSA) for the Microsoft Learn Student Ambassador Program and has previously served as the Google Developer Student Club Lead. Usman is also Azure and AWS certified and has spoken at more than 10 events, impacting over 1000 people across the country with his knowledge and expertise.
Throughout his career, Usman has gained a reputation for his ability to build scalable, high-performing systems that drive business growth. He has a passion for staying up-to-date on the latest tools and technologies and is always looking for ways to leverage these technologies to drive innovation and improve efficiency.
In addition to his technical skills, Usman is also an excellent communicator and enjoys sharing his knowledge with others. Whether he is speaking at an event or working with a team, he is known for his ability to clearly explain complex concepts and inspire others to achieve their full potential.
Overall, Usman is a highly skilled and accomplished data engineer with a proven track record of success.
Area of Expertise
Topics
Unleashing the Power of ETL on Azure
Join us for an exciting and informative session on ETL on Azure! I will guide you through the key components of Extract, Transform, and Load (ETL) on Microsoft Azure. You'll learn how to design and implement efficient and effective data pipelines that can handle large amounts of data with ease.
Here are the topics that will be covered in the session:
Introduction to ETL and Azure: A comprehensive overview of the basics of ETL and how it fits into the world of cloud computing, with a focus on Azure and its role in designing and implementing data pipelines.
Automating Data Processing: Learn how to use Azure Data Factory to automate data processing, including data transformations, data movement, and workflows.
Designing an Efficient Data Pipeline: Explore best practices and design patterns for building an efficient and effective data pipeline on Azure, including data quality checks, error handling, and performance optimization.
Practical Use-Cases: Engage in the demonstrations that will help you build a solid foundation in ETL on Azure and bring the concepts covered in the session to life.
Whether you're an experienced professional or just starting out, this session is designed to provide you with the skills and knowledge you need to succeed in the world of ETL and cloud .
Data Engineering on Microsoft Azure
Join us for a comprehensive and engaging session on Data Engineering on Azure! During this session, our expert instructor will guide you through the key components of Azure Data Engineering and provide you with the skills and knowledge you need to succeed in the fast-paced world of data engineering.
Here are the topics that will be covered in the session:
Introduction to Data Engineering and Azure: A comprehensive overview of the basics of data engineering and how it fits into the world of cloud computing, with a focus on Azure and its role in building, managing, and scaling data pipelines.
Setting up a Data Lake: A demonstration of how to set up a data lake on Azure, including the creation of a storage account, data ingestion, and data management.
Automating Data Processing and Deployment: Learn how to use Azure Data Factory to automate data processing and deployment, including data transformations, data movement, and workflows.
Designing a Scalable and Resilient Data Infrastructure: Explore the best practices and design patterns for building a scalable and resilient data infrastructure on Azure, including data replication, backup and disaster recovery, and security.
Azure Tools and Services for Data Engineering: Get an in-depth look at the suite of tools and services available on Azure for data engineering, including Azure Databricks & Azure Synapse.
Practical Use-Cases: Engage in the demonstration of real-life use cases that will help you build a solid foundation in data engineering on Azure and bring the concepts covered in the session to life.
Whether you're an experienced data professional or just starting out, this session is designed to provide you with the skills and knowledge you need to succeed in the fast-paced world of data engineering and cloud computing. Don't miss this opportunity to explore the future of data engineering and discover the power of Azure!"
Named Entity Recognition in NLP
Named entity recognition (NER) is a sub-task of information extraction (IE) that seeks out and categorizes specified entities in a body or bodies of texts. NER is also simply known as entity identification, entity chunking, and entity extraction. NER is used in many fields in Artificial Intelligence (AI) including Natural Language Processing (NLP) and Machine Learning.
This will enable you to extract Entities from a given text. this will help you answer what when who in a given text. this can be part of something bigger
The Art of Infrastructure as Code
Learn from an industry expert how to automate the deployment and management of your infrastructure using infrastructure as code. This 60-minute event will cover a range of topics including writing and maintaining infrastructure as code, advanced techniques for managing infrastructure as code, and best practices for implementing infrastructure as code. Discover the tools and techniques used to build reliable, scalable systems and learn how to use them effectively. Attendees will have the opportunity to ask questions and engage in discussions with the expert instructor. This event is suitable for IT professionals at any level of experience and is the perfect opportunity to deepen your knowledge and skills. Register now to secure your spot at The Art of Infrastructure as Code.
Secrets of Enterprise Data Engineering: Building Scalable Systems that Dominate the Competition
Learn from an industry expert how to build scalable, high-performing systems that drive business growth. This 60-minute event will cover a range of topics including cloud computing, data engineering, data warehousing, data lakes, and the latest tools and technologies from Azure and AWS. Discover best practices for data storage and management and learn how to choose the right platform for your needs. Gain knowledge about integrating Data, Cloud & Python all in a single place at Scale. Attendees will have the opportunity to ask questions and engage in discussions with the expert instructor. This event is perfect for data professionals looking to deepen their knowledge and skills and is suitable for those at any level of experience.
Art of Data Engineering: Building Scalable Systems
Welcome to The Art of Data Engineering: Building Scalable Systems, a 60-minute session to help data professionals like you take their skills to the next level. Led by an industry expert with years of experience in data engineering, this event is designed to provide a comprehensive overview of the field, covering everything from cloud computing and data warehousing to data lakes and the latest tools and technologies from Azure and AWS.
Whether you are just getting started in data engineering or are an experienced professional looking to deepen your knowledge and skills, this session is the perfect opportunity to learn from the best and take your career to the next level. The Instructor will be on hand to provide guidance and answer questions throughout the session, ensuring that you have the support you need to succeed.
Over the course of the session, we will cover a wide range of topics, including:
- Cloud computing and data engineering: Learn how to design and build scalable data pipelines that can handle large volumes of data, and how to integrate various data sources and transform data into usable insights.
- Data warehousing and data lakes: Explore the differences between data warehousing and data lakes, and learn how to choose the right platform for your needs.
- Azure and AWS tools and technologies: Discover the latest tools and technologies from Azure and AWS, and learn how to use them to build scalable data systems.
In addition to these core topics, we will also cover best practices for data storage and management, and discuss the pros and cons of different data platform options. Throughout the session, attendees will have the opportunity to ask questions and engage in discussions with our expert instructors, ensuring that you leave with a solid understanding of data engineering concepts and techniques.
Don't miss this opportunity to learn from the best and take your data engineering skills to the next level. Register now to secure your spot at The Art of Data Engineering: Building Scalable Systems. We can't wait to see you there!
What it takes to be an NLP Engineer
Did you know? You don't need to be a Ph.D. or a Senior Professional to learn Machine Learning and NLP. All you need to have is to have a passion to know about its applications. NLP is the shining star of the moment in Machine Learning. With every industry looking to apply AI & NLP in their domain, studying NLP & machine learning opens a world of opportunities to develop cutting-edge machine learning applications.
In this session, I hope to provide you guys with an insight on how to get started in Machine Learning and NLP. Even if you're a novice, you will get a chance to make a decision whether you should go for NLP/ML or not. I will also Debunk a lot of myths related to ML.
Microsoft Data Professionals' Forum User group Sessionize Event
Global AI Student Conference Sessionize Event
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