Devikrishna R : Senior Data Engineer - EY / Ex -WIPRO

Master Webinar in Every Sundays -
masterclass.visionboardedtech.com/

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ ๐…๐ซ๐ž๐ž ๐†๐ž๐ง ๐€๐ˆ + ๐ƒ๐š๐ญ๐š๐›๐ซ๐ข๐œ๐ค๐ฌ + ๐€๐ณ๐ฎ๐ซ๐ž ๐Œ๐š๐ฌ๐ญ๐ž๐ซ๐œ๐ฅ๐š๐ฌ๐ฌ | ๐‚๐ซ๐š๐œ๐ค ๐ˆ๐ง๐ญ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐‚๐จ๐ง๐Ÿ๐ข๐๐ž๐ง๐œ๐ž! ๐…๐ซ๐ž๐ž ๐Ÿ๐จ๐ซ ๐ญ๐ก๐ž ๐Ÿ๐ข๐ซ๐ฌ๐ญ 10 ๐ž๐ง๐ž๐ซ๐ ๐ž๐ญ๐ข๐œ ๐ฉ๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ฅ๐ฌ.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐‡๐ž๐ซ๐ž - lnkd.in/dJuDMXSa


๐Ÿ™„ Are you stuck in your IT Career and struggling to meet your Finance? Here is the solution to boost your career in 15x speed and minimum 200% salary hike in 2025 using Azure Data Engineering skills.๐Ÿ†๐Ÿ†๐Ÿ†

This channel is a platform for hustlers who want to motivate & inspire the world and along with that I'll be creating best content for Python, DSA and Data Engineering. Keep Learning, Keep Growing!!!





Vision Board

๐Ÿ”ฅ๐Ÿ๐Ÿ” ๐ƒ๐€๐˜๐’ ๐‹๐„๐…๐“ ๐…๐Ž๐‘ ๐๐„๐– ๐๐€๐“๐‚๐‡ - ๐Ž๐๐„ ๐ƒ๐„๐‚๐ˆ๐’๐ˆ๐Ž๐ ๐–๐ˆ๐‹๐‹ ๐‚๐‡๐€๐๐†๐„ ๐˜๐Ž๐”๐‘ ๐‚๐€๐‘๐„๐„๐‘ ๐ˆ๐ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ”
.
.
.
๐Ÿ‘-๐ƒ๐€๐˜ ๐…๐‘๐„๐„ ๐Œ๐„๐†๐€ ๐๐Ž๐Ž๐“๐‚๐€๐Œ๐ | ๐‰๐”๐๐„ ๐Ÿ๐Ÿ, ๐Ÿ๐Ÿ‘ & ๐Ÿ๐Ÿ’ .....

Transform Your Career in Data Engineering + Gen AI ๐Ÿ’ฅ
๐Ÿ† PLUS: ANNOUNCING OUR โ‚น1 LAKH CHALLENGE WINNER LIVE! ๐Ÿ†

Are you ready to move into high-paying Data Engineering + Gen AI careers?
This 3-day power-packed bootcamp is designed for serious IT professionals who want career growth, better salary, and more opportunities in the AI era.

๐Ÿ”ฅ BOOTCAMP AGENDA
-------------------------------
๐Ÿ“… DAY 1 โ€“ June 12
๐Ÿš€ Azure Data Engineering + Gen AI Career Roadmap for High-Paying Jobs
โœ… What skills companies are hiring for
โœ… Complete roadmap from current role โ†’ Azure Data Engineer / AI roles
โœ… How professionals move from low growth to high salary opportunities

๐Ÿ“… DAY 2 โ€“ June 13
------------------------------
๐ŸŽฏ Real Interview Questions Discussion + Cracking Strategy
โœ… Most asked Azure Data Engineering interview questions
โœ… Scenario-based questions from real projects
โœ… How to answer confidently like experienced professionals

๐Ÿ“… DAY 3 โ€“ June 14
-----------------------------
๐Ÿค– How to Position Yourself in the AI Era to Attract More Job Openings
โœ… LinkedIn positioning strategy
โœ… Resume optimization for AI/Data roles
โœ… How recruiters find top candidates
โœ… Build your high-value professional brand

๐ŸŽ LIVE REWARDS FOR ACTIVE PARTICIPANTS
๐Ÿ”ฅ Attend all 3 days + participate actively
๐ŸŽง 10 Lucky Winners โ†’ Premium Headphones
๐Ÿ“„ 20 Winners โ†’ Premium ATS Resume Templates
๐Ÿ† SPECIAL HIGHLIGHT
๐Ÿ’ฐ โ‚น1 LAKH CHALLENGE WINNER ANNOUNCEMENT LIVE
โš ๏ธ Only for serious career switchers & professionals targeting bigger opportunities in 2026 hiring cycle.



Join Here for BOOTCAMP: chat.whatsapp.com/LvXRwdU3vs0GShuUq037Du




#dataengineer #Azure

2 days ago | [YT] | 5

Vision Board

We are starting the Interview Series โ€“ Day 14 / 45 Days Challenge!

๐Ÿ’ฐ โ‚น๐Ÿ ๐‹๐š๐ค๐ก ๐‚๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž ๐Ÿ๐จ๐ซ ๐๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐•๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐š๐ซ๐ ๐Œ๐ž๐ฆ๐›๐ž๐ซ๐ฌ!
๐Ÿ† ๐Ÿ๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅˆ ๐Ÿ๐ง๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅ‰ ๐Ÿ‘๐ซ๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿ… ๐Ÿ’๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐ŸŽ–๏ธ ๐Ÿ“๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿš€ Letโ€™s see who rises to the top and wins it all!

๐Ÿ’ฌ Comment โ€œINTERVIEWโ€ to join VisionBoard




๐Ÿ”ฅ Goal:

Consistency + Practice = Interview Success ๐Ÿ’ฏ

Letโ€™s crack it together ๐Ÿ’ฅ

1 week ago | [YT] | 8

Vision Board

We are starting the Interview Series โ€“ Day 13 / 45 Days Challenge!

๐Ÿ’ฐ โ‚น๐Ÿ ๐‹๐š๐ค๐ก ๐‚๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž ๐Ÿ๐จ๐ซ ๐๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐•๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐š๐ซ๐ ๐Œ๐ž๐ฆ๐›๐ž๐ซ๐ฌ!
๐Ÿ† ๐Ÿ๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅˆ ๐Ÿ๐ง๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅ‰ ๐Ÿ‘๐ซ๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿ… ๐Ÿ’๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐ŸŽ–๏ธ ๐Ÿ“๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿš€ Letโ€™s see who rises to the top and wins it all!

๐Ÿ’ฌ Comment โ€œINTERVIEWโ€ to join VisionBoard
Todayโ€™s focus:

Day 13 Activities โ€“ 45 Days Challenge

Day 13 Activities โ€“ 45 Days Challenge

1. Incremental Load Without Timestamp
2. Late Arriving Data
3. 500 Tables Migration
4. Dynamic File Names
sales_20260512.csv
orders_20260512.csv
customers_20260512.csv
5. Corrupted File Handling
6. Retry & Failure Recovery
7. Dependency Management
8. REST API Pagination
9. API Rate Limiting
10. Massive File Processing
11. SCD Type 2 Implementation
12. Trigger on File Arrival
13. Multi-Environment Deployment
14. Secret Management
15. Monitoring Framework
16. Row Count Validation
17. Data Drift Handling
18. Parallel vs Sequential Processing
19. Long Running Pipeline
20. End-to-End Enterprise Scenario
SQL Server
SAP
REST API
CSV files
ADLS
Databricks
Synapse

Bonus Senior-Level Questions

21. Why ADF over Databricks jobs for orchestration?
22. When would you avoid Mapping Data Flows?
23. How do you reduce ADF cost in enterprise projects?
24. Self-hosted IR vs Azure IR โ€” when to use?
25. How do you handle cross-region data movement?


๐Ÿ”ฅ Goal:

Consistency + Practice = Interview Success ๐Ÿ’ฏ

Letโ€™s crack it together ๐Ÿ’ฅ

2 weeks ago | [YT] | 6

Vision Board

Day 12 Activities โ€“ 45 Days Challenge



Sql --- interview example with 2 tables (Employee + Department) with dummy data to find employees without a department.
Pyspark --- interview example with 2 tables (Employee + Department) with dummy data to find employees without a department.

1.What are the challenges u faced in these 5 years?
2.What is the biggest problem u faced and how u resolved it?
3.What are the approaches if the pipeline is taking longer than usual ?
4.How do you load all 1000 tables at a time and each one have different 5.schema and what are the parameters used in that ?
6.Write sql query for to get customer name for the day who is having max 7.amount and also I want max amount of all the customers on that day?
8.Data skewness ?
9.How do u secure Databricks?
10.RBAC and ACLs?
11.Optimizations?
12.Introduce yourself?
13.What is dynamic memory allocation and which type of allocation have u used it in your project?
14.Explain python code and pyspark code ?
15.How will you deploy the code ?
16.If any pipeline is failed in production how you got to know whether it is failed and how will you resolve and how will you make the the pipeline ran again?
17.How u have scheduled jobs (mentioned triggers but he asked for Unix air flow )

2 weeks ago | [YT] | 3

Vision Board

Day 10 Activities โ€“ 45 Days Challenge

SQL : โœ… Fetch all users who logged in consecutively for 3 days or more
Pyspark : โœ… Fetch all users who logged in consecutively for 3 days or more.

1. Architecture of your current project, what are the source?
2. If source is SQL Server? So it is an on-prem SQL Server, or how do you connect?
3. From where you are ingesting csv/json/rest API files? What is the source loaction?
4. What is unity Catalog?
5.Benefits of unity Catalog?
6. How do you handle incremental load in ADF?
7. When you are ingesting for the first time, what will be the value of the watermark column? As you don't have any watermak for the first ingestion?
8. Where you will store the ingested data in staging layer or Bronze layer?
9. From Bronze layer how will you get the data into silver layer?
10. How do you read only the latest data from the Bronze layer?
11. How do you implement CdC or slowly changing dimensions?
12. Slow running query?
13. I have inserted a record in the Delta table today? And for 10 days, I have not done any operations on the Delta table. On 11th day, I did a vacuum. What will happen?
14. Suppose I have inserted some record today, and then I have updated some record, and then I have deleted the record. Now I want to check what was the data before I did the update. How can I get that data?
15. Different syntax for timetravel?
16. How to trigger Optimize? What is optimize?
17. Z- ordering?
18. suppose for 10 delta files. will Z-ordering create or reduce the number of files, or it will keep the data file number as 10 only?
19. Liquid clustering? How many column we can keep at a time?
20. Spark code to find customer from transaction table who didn't bought any product?
21. Version controlling?
22. Difference between all purpose compute and job compute?
23. Cluster size of your development region?
24. How to handle activation of the expired token?
25. What is dbutils?

๐Ÿ”ฅ Goal:
Consistency + Practice = Interview Success ๐Ÿ’ฏ
Letโ€™s crack it together ๐Ÿ’ฅ

3 weeks ago | [YT] | 5

Vision Board

We are starting the Interview Series โ€“ Day 9 / 45 Days Challenge!



๐Ÿ’ฐ โ‚น๐Ÿ ๐‹๐š๐ค๐ก ๐‚๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž ๐Ÿ๐จ๐ซ ๐๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐•๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐š๐ซ๐ ๐Œ๐ž๐ฆ๐›๐ž๐ซ๐ฌ!

๐Ÿ† ๐Ÿ๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ

๐Ÿฅˆ ๐Ÿ๐ง๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ

๐Ÿฅ‰ ๐Ÿ‘๐ซ๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ

๐Ÿ… ๐Ÿ’๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ

๐ŸŽ–๏ธ ๐Ÿ“๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ

๐Ÿš€ Letโ€™s see who rises to the top and wins it all!



๐Ÿ’ฌ Comment โ€œINTERVIEWโ€ to join VisionBoard

Todayโ€™s focus:



Day 9 Activities โ€“ 45 Days Challenge



โœ…1. Delta Lake Architecture

โœ…2. Cluster Configuration & Optimization

โœ…3. Loading Static & Database Files in Databricks

โœ…4. Autoloader & Implementation

โœ…5. Joins in PySpark

โœ…6. Inner / Outer / Left Join โ€” Sample Query

โœ…7. OPTIMIZE, ZORDER & VACUUM

โœ…8. Time Travel in Delta Lake

โœ…9. Data Skewness

โœ…10. Types of Clusters in Databricks

โœ…11. Azure Data Factory Scheduling

โœ…12. New Column in Streaming Data

โœ…13. Schema Drift

โœ…SQL : Latest Order per Customer and Running Total

โœ…Pyspark : Latest Order per Customer and Running Total



๐Ÿ”ฅ Goal:

Consistency + Practice = Interview Success ๐Ÿ’ฏ

Letโ€™s crack it together ๐Ÿ’ฅ



Follow me Devikrishna R, for more Update





Join With us : lnkd.in/ghKcexAk

3 weeks ago | [YT] | 3

Vision Board

3 weeks ago | [YT] | 5

Vision Board

๐Ÿš€ We are starting the Interview Series โ€“ Day 2 / 45 Days Challenge!

๐Ÿ’ฐ โ‚น๐Ÿ ๐‹๐š๐ค๐ก ๐‚๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž ๐Ÿ๐จ๐ซ ๐๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐•๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐š๐ซ๐ ๐Œ๐ž๐ฆ๐›๐ž๐ซ๐ฌ!
๐Ÿ† ๐Ÿ๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅˆ ๐Ÿ๐ง๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿฅ‰ ๐Ÿ‘๐ซ๐ ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿ… ๐Ÿ’๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ๐ŸŽ,๐ŸŽ๐ŸŽ๐ŸŽ
๐ŸŽ–๏ธ ๐Ÿ“๐ญ๐ก ๐๐ซ๐ข๐ณ๐ž โ€“ โ‚น๐Ÿ“,๐ŸŽ๐ŸŽ๐ŸŽ
๐Ÿš€ Letโ€™s see who rises to the top and wins it all!

๐Ÿ’ฌ Comment โ€œINTERVIEWโ€ to join VisionBoard
Todayโ€™s focus:

Day 2 Activities

1๏ธโƒฃ How do you handle failures in real-time Data Engineering projects?
2๏ธโƒฃ Why choose Databricks over Synapse?
3๏ธโƒฃ What are the most common real-world challenges faced by Data Engineers daily?
4๏ธโƒฃ Write PySpark code to identify duplicate records (with sample data)
5๏ธโƒฃ Write SQL queries to find duplicate records using multiple approaches

๐ŸŽฏ Goal: Consistency for 45 days = Offer Letter ๐Ÿ’ฏ
Donโ€™t just prepareโ€ฆ prepare the right way.

Letโ€™s crack it together ๐Ÿ’ฅ
Follow me Devikrishna R, for more Update

Join With us : lnkd.in/ghKcexAk

#VisionBoard #InterviewPreparation #DataEngineering #SQL #PySpark #CareerGrowth #GenAI #InterviewReady #45DaysChallenge

3 weeks ago | [YT] | 4