Shubham Wadekar

One Industry Level Data Engineering Project

After booking, I will give you a call in 24 hrs,This is going to be total 3 sessions - 3hrs and timings we will decide on call.

Trust me, we are providing this project directly from the people who have made a transition into good companies using this project.

Please read all the below details for better understanding.

What exactly we are providing -

1. We will provide you one project directly sourced from real-world scenarios where professionals are actively working.
2. These projects cover every aspect, from scratch to advanced implementation, ensuring you learn practical, industry-relevant skills.

How it works?

1. The service includes 3 sessions, each lasting 1 hour.
2. In the first two sessions, we will provide a detailed explanation of the entire project, covering every aspect from start to finish.
3. In the final session, we will address all your doubts and questions to ensure complete clarity and understanding of the project.

Deliverables:

1. Real-World Project Use Case – Get hands-on experience with a real-world project that mirrors industry challenges, complete with business objectives and expected outcomes.
2. End-to-End Project Flow – Understand the entire lifecycle of a data project, from requirement gathering and planning to implementation, deployment, and monitoring.
3. Pipeline Architecture – Gain insights into the complete data pipeline with detailed architecture diagrams and visual representations to understand the data flow.
4. Stakeholders & Roles – Learn about the key players involved, including Data Engineers, Architects, and Business Analysts, along with their specific responsibilities in the project.
5. Technology & Tools – Explore the tools and technologies used in the project, their purpose, and why they were chosen for optimal efficiency and scalability.
6. Data Specifications – Understand the type of data handled, its volume, ingestion frequency, and how it is processed within the pipeline.
7. Source Systems – Get a breakdown of all data sources integrated into the project, including databases, APIs, streaming sources, and external data providers.
8. Challenges and Resolutions – Learn about real-world challenges faced at each stage of the project and how they were efficiently resolved.
9. Schema Design – Deep dive into table structures, schema design, and data modeling techniques used in the project.
10. Interview Questions – Access a curated list of project-related interview questions, along with insights on how to answer them effectively.
11. Resume Optimization – Learn how to showcase this project in your resume with quantifiable impact to grab recruiters' attention.
12. Interview Question Responses – Get guidance on structuring your responses for project-related interview questions with clarity and confidence.
13. Key Metrics – Understand the key performance metrics, SLAs, and KPIs tracked to ensure the success of the data pipeline.
14. Testing Strategies – Learn data validation techniques, testing methodologies, and debugging strategies for data pipelines.
15. Automation – Explore how CI/CD pipelines and automation scripts are used to streamline deployment and operational workflows.
16. Scalability & Optimization – Discover best practices for optimizing data pipelines to handle larger datasets and improve overall efficiency.

Bonus -> FREE Complete Interview Preparation kit - Data Engineer

Looking forward to have this amazing discussion.