SQL for Data Engineers Designing and Building Data Pipelines
Course Overview: SQL for Data Engineers: Designing & Building Data Pipelines
This course is built for future data engineers or anyone who wants to get serious about how data flows in the real world. You’ll go beyond just writing SQL queries and learn how to build full data pipelines: from collecting raw data, cleaning it, transforming it, and moving it where it needs to go. It’s hands: on, beginner: friendly, and packed with real examples from business, tech, and analytics. By the end, you’ll know how to think like a data engineer and build the backbone for dashboards, models, and apps that need reliable data.
Curriculum by Industry Expert
Mentors are Tech leads
Skill Level Intermediate
Certification of Completion
Tools you master
What will you learn
Mastering SQL Basics
- Write clean and powerful SQL queries using SELECT, JOIN, GROUP BY, and more.
- Clean, filter, and reshape messy data pulled from real-world sources.
- Think like a data engineer: structure SQL not just for answers, but for automation and scale.
Building Data Models
- Organize your data into fact and dimension tables for better performance.
- Understand how to design models that are scalable and easy to manage.
- Create optimized views and materialized views to speed up dashboard queries.
Transforming Data in the Real World
- Use DBT (Data Build Tool) to automate and manage your transformations.
- Handle late-arriving data, schema changes, and other real-life messiness.
- Build logic that updates as your data grows, with minimal manual effort.
Designing End: to: End Pipelines
- Set up reliable pipelines with Airflow or Prefect, no complex setup required.
- Schedule transformations to run daily, hourly, or when new data arrives.
- Monitor, test, and troubleshoot your workflows with built-in tools.
Working with Cloud Data Tools
- Work with cloud-native warehouses like BigQuery, Snowflake, or Azure SQL.
- Explore how SQL integrates with cloud platforms for high-volume performance.
- Test and explore transformations in Jupyter or Colab before deploying them.
Real: World Projects
- Build a full pipeline for a sales dashboard from CSV to clean, usable output.
- Create a behavioural tracking pipeline to monitor user actions in real-time.
- Design a customer retention reporting system that updates itself with fresh data.
Whom will you learn from ?
Sivaram is an AI Solution Architect with expertise in AI technologies like Generative AI, Computer Vision, and Machine Learning.
Vikas Patel, an IITian, is a Machine Learning Scientist at Nykaa with extensive experience in insurance, healthcare, finance, and e-commerce.
Sagnik Pal is a seasoned expert in leveraging AI and cutting-edge technologies to drive transformative business outcomes.
Senior Data Scientist at PwC, Data & Analytics and Engineering Specialist
As the Head of Technology at Blue Data, I help enterprises accelerate their data and AI transformation strategy.
As a Lead Data Scientist with 11 years of IT experience, I have conducted over 60 training sessions in Generative AI, ML/AI, and AWS.
Mohit is an AI/ML and Data enthusiast, and has been working with data, analysis, AI, and strategy & insights for 12+ years.
Project Associate in MathWorks GNSS Project | AI & Machine Learning | Data & Video Analytics | Generative AI & NLP for Business Solutions.
Co-Founder &CEO - CognisysAI Pvt. Ltd. || CTO - Incline Inventions Pvt. Ltd.
Senior Data Scientist with a wealth of experience in the fields of Computer Vision(CV), Natural Language Processing (NLP) & structured data analysis.
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Your SQL for Data Engineers Designing and Building Data Pipelines
Certificate is Awaiting
Industry-recognized certification
This certification proves your ability to do more than just write queries you can build the systems that keep modern businesses running. From data cleaning and modelling to transformation and delivery, this course demonstrates your skill in designing robust, scalable pipelines used in real: world data operations.
Effortless Sharing of Your Achievement
Once you complete the course, your certificate is ready to be shared across your career platforms. Post it on LinkedIn, attach it to your GitHub or resume, or present it in interviews and project proposals.
Boost Your Professional Productivity
By the end of this course, you’ll have mastered the thinking, tools, and workflows that power modern data teams. You’ll be comfortable writing SQL with scalability in mind, automating with Airflow and DBT, and working across local and cloud environments.
FAQ's
We offer beginner to advanced courses in Artificial Intelligence, covering topics like Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and AI ethics.
Most courses use popular tools like Python, Jupyter Notebook, TensorFlow, and other open-source libraries. We provide setup guides to help you get started easily.
Most of our courses are self-paced, allowing you to learn on your own schedule. However, we also offer instructor-led cohorts and live sessions for select programs.
Yes, upon successful completion of any course or specialization, you’ll receive a digital certificate that you can share on LinkedIn or include in your resume.
You can reach our support team anytime through chat or email. We also have community forums where instructors and peers can help you troubleshoot and learn collaboratively.