Paytm SQL Interview Question скачать в хорошем качестве

Paytm SQL Interview Question

In this video, I walk through a real SQL interview question asked for a Senior Analytics Engineer position. At this level, interviewers care far more about your approach, reasoning, and clarity of thought than just the final SQL query. CREATE TABLE employee_timetable ( emp_id INT NOT NULL, emp_name VARCHAR(100) NOT NULL, dep_id INT NOT NULL, in_out VARCHAR(3) NOT NULL CHECK (in_out IN ('in', 'out')), in_out_time TIMESTAMP NOT NULL ); INSERT INTO employee_timetable (emp_id, emp_name, dep_id, in_out, in_out_time) VALUES -- Employee 101 (101, 'Alice', 10, 'in', '2026-01-28 09:00:00'), (101, 'Alice', 10, 'out', '2026-01-28 13:00:00'), (101, 'Alice', 10, 'in', '2026-01-28 14:00:00'), (101, 'Alice', 10, 'out', '2026-01-28 18:00:00'), -- Employee 102 (102, 'Bob', 20, 'in', '2026-01-28 08:45:00'), (102, 'Bob', 20, 'out', '2026-01-28 12:30:00'), (102, 'Bob', 20, 'in', '2026-01-28 13:15:00'), (102, 'Bob', 20, 'out', '2026-01-28 17:45:00'), -- Employee 103 (103, 'Charlie', 10, 'in', '2026-01-28 09:10:00'), (103, 'Charlie', 10, 'out', '2026-01-28 12:50:00'), (103, 'Charlie', 10, 'in', '2026-01-28 13:40:00'), (103, 'Charlie', 10, 'out', '2026-01-28 18:20:00'), -- Employee 104 (104, 'Diana', 30, 'in', '2026-01-28 10:00:00'), (104, 'Diana', 30, 'out', '2026-01-28 14:00:00'), (104, 'Diana', 30, 'in', '2026-01-28 15:00:00'), (104, 'Diana', 30, 'out', '2026-01-28 19:00:00'), -- Employee 105 (105, 'Ethan', 20, 'in', '2026-01-28 10:05:00'), (105, 'Ethan', 20, 'out', '2026-01-28 13:00:00'), (105, 'Ethan', 20, 'in', '2026-01-28 14:00:00'), (105, 'Ethan', 20, 'out', '2026-01-28 17:30:00'), -- Employee 106 (106, 'Fiona', 30, 'in', '2026-01-28 10:15:00'), (106, 'Fiona', 30, 'out', '2026-01-28 12:45:00'), (106, 'Fiona', 30, 'in', '2026-01-28 13:30:00'), (106, 'Fiona', 30, 'out', '2026-01-28 18:00:00'), -- Employee 107 (107, 'George', 10, 'in', '2026-01-28 10:30:00'), (107, 'George', 10, 'out', '2026-01-28 13:20:00'), (107, 'George', 10, 'in', '2026-01-28 14:10:00'), (107, 'George', 10, 'out', '2026-01-28 17:50:00'), -- Employee 108 (108, 'Hannah', 40, 'in', '2026-01-28 10:00:00'), (108, 'Hannah', 40, 'out', '2026-01-28 12:30:00'), (108, 'Hannah', 40, 'in', '2026-01-28 13:15:00'), (108, 'Hannah', 40, 'out', '2026-01-28 16:45:00'), -- Employee 109 (109, 'Ian', 20, 'in', '2026-01-28 10:20:00'), (109, 'Ian', 20, 'out', '2026-01-28 13:40:00'), (109, 'Ian', 20, 'in', '2026-01-28 14:30:00'), (109, 'Ian', 20, 'out', '2026-01-28 18:00:00'); To demonstrate this clearly, I solve the same problem using two different SQL approaches: A simple, logic-driven solution that relies on strong SQL fundamentals An alternative solution using window functions, showcasing a more advanced and scalable approach By comparing both methods, you will understand why different SQL strategies exist, when to use each, and how to justify your approach during senior-level interviews. What You Will Learn in This Video: Writing clean, maintainable SQL When a simple approach is better than an advanced one Practical use of window functions in real interview scenarios How to explain your logic clearly to interviewers This type of question is commonly used to test depth of understanding, optimization thinking, and SQL maturity, especially for analytics engineering and senior data roles. Gears I use: I use bags from RoadGods. Buy yours using the link below: https://www.roadgods.com/?ref=AKSHAYY... Or use Coupon Code: AKSHAYYEKKA for 12% off on other products. I use a DPR Mini SE to protect my internet for life. Buy it from the link below: https://shop.deeper.network?sca_ref=9... Or use Coupon Code: AKSHAYSAGAR for 5% off on other products. I use the following gadgets (You can buy them from the links given!): Macbook Pro: https://amzn.to/4a6pSmL Sennhieser Profile: https://amzn.to/4c3JdHW Logitech MX3S: https://amzn.to/4a8TT5w SKULLSAINTS CoreX Mini PC: https://amzn.to/3NROuZ9 Like, Share & Subscribe If this SQL walkthrough helped you, make sure to like the video, share it with your peers, and subscribe to the channel for more senior-level SQL interview questions and analytics-focused problem solving. Follow me for more SQL interview questions, analytics engineering concepts, and advanced data problem-solving tutorials.