Data Engineer Mock Interview | ADF | Medallion Architecture | BRONZE, SILVER & GOLD Layer| ADLS GEN2

𝐓𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐂𝐡𝐞𝐜𝐤 https://trendytech.in/?src=youtube&sub=mockdec for curated courses developed by me. I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐒𝐐𝐋? 𝐋𝐞𝐚𝐫𝐧 𝐒𝐐𝐋 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐰𝐚𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐨𝐮𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫 𝐜𝐨𝐮𝐫𝐬𝐞 - 𝐒𝐐𝐋 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦! "𝐀 8 𝐰𝐞𝐞𝐤 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐜𝐫𝐚𝐜𝐤 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐨𝐟 𝐭𝐨𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐛𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐚 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐧 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞 𝐚𝐧 𝐮𝐧𝐬𝐞𝐞𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦." 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 - 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐈𝐧𝐝𝐢𝐚) : https://rzp.io/l/SQLINR 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : https://rzp.io/l/SQLUSD 30 INTERVIEWS IN 30 DAYS- BIG DATA INTERVIEW SERIES This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development Our highly experienced guest interviewer, Ankur Bhattacharya, https://www.linkedin.com/in/ankur-bhattacharya-10055877 shares invaluable insights and practical advice coming from his extensive experience, catering to aspiring data engineers and seasoned professionals alike. Our talented guest interviewee, Sasiram Kolisetty https://www.linkedin.com/in/kolisetty-sasiram-02852b186/ has a remarkable approach to answering the interview questions in a very well articulated manner. Where he talks about the complete Medallion Architecture followed in the projects that he worked on belonging to Insurance and Green Energy Domain. He describes how the raw data was initially added to the bronze layer tables. Then performed cleaning and transformations on this data which was then added to the Silver layer tables. Finally, based on the business requirements, data was aggregated and the results were added to the Gold Layer. Link of Free SQL & Python series developed by me are given below - SQL Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67rAoPmnCQmcgLS4iIc5ungg Python Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67pQSwkaEF9uHXzr8Td9IEpV Don't miss out - Subscribe to the channel for more such informative interviews and unlock the secrets to success in this thriving field! Social Media Links : LinkedIn - https://www.linkedin.com/in/bigdatabysumit/ Twitter - https://twitter.com/bigdatasumit Instagram - https://www.instagram.com/bigdatabysumit/ Student Testimonials - https://trendytech.in/#testimonials Discussed Questions with Timestamp 3:51 Brief discussion about the project. 9:06 What business problem are you solving in your project? 9:56 What work have you done to secure your data? 11:20 Do you use Unity Catalog for role-based policy? 11:33 How do you resolve bottlenecks in terms of latency in your pipeline? 15:14 If you have 2 large tables, what kind of join strategy will you follow? 16:12 Difference between bucketing and Z-ordering. 16:48 How do you perform data ingestion? 18:20 How would you create a pipeline for real-time data updates, aggregation, and live dashboard creation? 20:13 What triggers are available in ADF? 21:18 How does lazy evaluation help in Spark optimization? 22:45 What approach would you take for cluster configuration 24:53 SQL coding question Tags #mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs