Devikrishna R : Senior Data Engineer - EY / Ex -WIPRO
Master Webinar in Every Sundays -
masterclass.visionboardedtech.com/
๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐
๐ซ๐๐ ๐๐๐ง ๐๐ + ๐๐๐ญ๐๐๐ซ๐ข๐๐ค๐ฌ + ๐๐ณ๐ฎ๐ซ๐ ๐๐๐ฌ๐ญ๐๐ซ๐๐ฅ๐๐ฌ๐ฌ | ๐๐ซ๐๐๐ค ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐จ๐ง๐๐ข๐๐๐ง๐๐! ๐
๐ซ๐๐ ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐ข๐ซ๐ฌ๐ญ 10 ๐๐ง๐๐ซ๐ ๐๐ญ๐ข๐ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐จ๐ง๐๐ฅ๐ฌ.
๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ ๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐๐ซ๐ - lnkd.in/dJuDMXSa
๐ 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.๐๐๐
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
๐ฅ๐๐ ๐๐๐๐ ๐๐๐ ๐ ๐ ๐๐ ๐๐๐ ๐๐๐๐๐ - ๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐๐
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๐-๐๐๐ ๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐ | ๐๐๐๐ ๐๐, ๐๐ & ๐๐ .....
Transform Your Career in Data Engineering + Gen AI ๐ฅ
๐ PLUS: ANNOUNCING OUR โน1 LAKH CHALLENGE WINNER LIVE! ๐
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.
๐ฅ BOOTCAMP AGENDA
-------------------------------
๐ DAY 1 โ June 12
๐ Azure Data Engineering + Gen AI Career Roadmap for High-Paying Jobs
โ What skills companies are hiring for
โ Complete roadmap from current role โ Azure Data Engineer / AI roles
โ How professionals move from low growth to high salary opportunities
๐ DAY 2 โ June 13
------------------------------
๐ฏ Real Interview Questions Discussion + Cracking Strategy
โ Most asked Azure Data Engineering interview questions
โ Scenario-based questions from real projects
โ How to answer confidently like experienced professionals
๐ DAY 3 โ June 14
-----------------------------
๐ค How to Position Yourself in the AI Era to Attract More Job Openings
โ LinkedIn positioning strategy
โ Resume optimization for AI/Data roles
โ How recruiters find top candidates
โ Build your high-value professional brand
๐ LIVE REWARDS FOR ACTIVE PARTICIPANTS
๐ฅ Attend all 3 days + participate actively
๐ง 10 Lucky Winners โ Premium Headphones
๐ 20 Winners โ Premium ATS Resume Templates
๐ SPECIAL HIGHLIGHT
๐ฐ โน1 LAKH CHALLENGE WINNER ANNOUNCEMENT LIVE
โ ๏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
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Vision Board
We are starting the Interview Series โ Day 14 / 45 Days Challenge!
๐ฐ โน๐ ๐๐๐ค๐ก ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐๐จ๐ซ ๐๐ซ๐๐ฆ๐ข๐ฎ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐๐ซ๐ ๐๐๐ฆ๐๐๐ซ๐ฌ!
๐ ๐๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ง๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ซ๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐๏ธ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐,๐๐๐
๐ Letโs see who rises to the top and wins it all!
๐ฌ Comment โINTERVIEWโ to join VisionBoard
๐ฅ Goal:
Consistency + Practice = Interview Success ๐ฏ
Letโs crack it together ๐ฅ
1 week ago | [YT] | 8
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Vision Board
We are starting the Interview Series โ Day 13 / 45 Days Challenge!
๐ฐ โน๐ ๐๐๐ค๐ก ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐๐จ๐ซ ๐๐ซ๐๐ฆ๐ข๐ฎ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐๐ซ๐ ๐๐๐ฆ๐๐๐ซ๐ฌ!
๐ ๐๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ง๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ซ๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐๏ธ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐,๐๐๐
๐ Letโs see who rises to the top and wins it all!
๐ฌ Comment โINTERVIEWโ to join VisionBoard
Todayโs 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?
๐ฅ Goal:
Consistency + Practice = Interview Success ๐ฏ
Letโs crack it together ๐ฅ
2 weeks ago | [YT] | 6
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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
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Vision Board
Day 10 Activities โ 45 Days Challenge
SQL : โ Fetch all users who logged in consecutively for 3 days or more
Pyspark : โ 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?
๐ฅ Goal:
Consistency + Practice = Interview Success ๐ฏ
Letโs crack it together ๐ฅ
3 weeks ago | [YT] | 5
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Vision Board
We are starting the Interview Series โ Day 9 / 45 Days Challenge!
๐ฐ โน๐ ๐๐๐ค๐ก ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐๐จ๐ซ ๐๐ซ๐๐ฆ๐ข๐ฎ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐๐ซ๐ ๐๐๐ฆ๐๐๐ซ๐ฌ!
๐ ๐๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ง๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ซ๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐๏ธ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐,๐๐๐
๐ Letโs see who rises to the top and wins it all!
๐ฌ Comment โINTERVIEWโ to join VisionBoard
Todayโs focus:
Day 9 Activities โ 45 Days Challenge
โ 1. Delta Lake Architecture
โ 2. Cluster Configuration & Optimization
โ 3. Loading Static & Database Files in Databricks
โ 4. Autoloader & Implementation
โ 5. Joins in PySpark
โ 6. Inner / Outer / Left Join โ Sample Query
โ 7. OPTIMIZE, ZORDER & VACUUM
โ 8. Time Travel in Delta Lake
โ 9. Data Skewness
โ 10. Types of Clusters in Databricks
โ 11. Azure Data Factory Scheduling
โ 12. New Column in Streaming Data
โ 13. Schema Drift
โ SQL : Latest Order per Customer and Running Total
โ Pyspark : Latest Order per Customer and Running Total
๐ฅ Goal:
Consistency + Practice = Interview Success ๐ฏ
Letโs crack it together ๐ฅ
Follow me Devikrishna R, for more Update
Join With us : lnkd.in/ghKcexAk
3 weeks ago | [YT] | 3
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Vision Board
3 weeks ago | [YT] | 5
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Vision Board
JUNE 14 TH - visionboard.graphy.com/courses/Pre-booking--BATCH-โฆ
3 weeks ago | [YT] | 4
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Vision Board
Day 6
3 weeks ago | [YT] | 7
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Vision Board
๐ We are starting the Interview Series โ Day 2 / 45 Days Challenge!
๐ฐ โน๐ ๐๐๐ค๐ก ๐๐ก๐๐ฅ๐ฅ๐๐ง๐ ๐ ๐๐จ๐ซ ๐๐ซ๐๐ฆ๐ข๐ฎ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง๐๐จ๐๐ซ๐ ๐๐๐ฆ๐๐๐ซ๐ฌ!
๐ ๐๐ฌ๐ญ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ง๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ฅ ๐๐ซ๐ ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐๐,๐๐๐
๐๏ธ ๐๐ญ๐ก ๐๐ซ๐ข๐ณ๐ โ โน๐,๐๐๐
๐ Letโs see who rises to the top and wins it all!
๐ฌ Comment โINTERVIEWโ to join VisionBoard
Todayโs focus:
Day 2 Activities
1๏ธโฃ How do you handle failures in real-time Data Engineering projects?
2๏ธโฃ Why choose Databricks over Synapse?
3๏ธโฃ What are the most common real-world challenges faced by Data Engineers daily?
4๏ธโฃ Write PySpark code to identify duplicate records (with sample data)
5๏ธโฃ Write SQL queries to find duplicate records using multiple approaches
๐ฏ Goal: Consistency for 45 days = Offer Letter ๐ฏ
Donโt just prepareโฆ prepare the right way.
Letโs crack it together ๐ฅ
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
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