How to crack service-based companies with ease

📅 Day 36 | Focused Preparation for MNC Placement Journey 🚀 ✅ Today’s Key Learnings & Progress:) 🧱 Data Structures & Algorithms (DSA) 🔹 Focused on Wipro Previous Year Coding Questions to understand company-specific patterns. 🔹 Revised key problem areas like: ▪️ Array Manipulation & Searching ▪️ String-Based Logical Problems ▪️ Mathematical and Logical Thinking Questions 🐍 Python for Data Engineering 🔹 Revised all previous Python concepts including: ▪️ Functions, Loops, Decorators, Exception Handling, File Handling ▪️ Modules, Pandas Basics, and Data Manipulation Concepts 🔹 Learned about common Python interview questions frequently asked by companies like Wipro, TCS, and Infosys. 🗄️ SQL & Database Concepts 🔹 Reviewed SQL theory and explored types of SQL-based interview questions, including: ▪️ Joins (Inner, Left, Right, Full) ▪️ Aggregation Functions ▪️ Nested Queries & Constraints 🔧 Data Engineering Mindset 🔹 Continued connecting concepts from Python and SQL to real-world data workflows. 🔹 Reflected on how coding, logic, and data queries together form the foundation of ETL pipelines and data analysis systems. 🗣️ Communication & Confidence Building 🔹 Practiced explaining Python and DSA concepts aloud — improving clarity and professional articulation. 🔹 Focused on structured communication for technical interviews and discussions. Consistency, practice, and reflection are my three daily companions on this 180-day mission. 💻✨ #Day36 #MNCPreparation #DataEngineering #Python #SQL #DSA #WiproPrep #CareerGrowth #StudentToEngineer #BigData #ETL #InterviewPreparation #Consistency #Motivation #Agenvy #AkashKumar

When I was preparing for the Infosys Specialist Programmer interview, reading others’ experiences helped me a lot — so I wanted to share mine, hoping it might help someone else too! 😊 The interview started with a coding assignment conducted under panel supervision. We were given two DSA questions . I managed to solve and then, explained my approach and time complexity, and even discussed about using Dijkstra’s Algorithm for finding the shortest path. Later, I was asked to write several small programs such as: 🔹 Rotate an array for d times 🔹 Find the second largest element in a BST 🔹 Bubble sort and Quick Sort implementation After that, the technical interview covered: ACID properties, checkpoints, rollback (DBMS) String vs StringBuilder, exception handling, and OOPs concepts (Java) Selectors in CSS, React hooks, useEffect and class components One SQL query to retrieve the 4th highest score Though I couldn’t answer every question perfectly, I focused on staying calm, explaining my logic clearly, and showing how I think through a problem — and that made all the difference. ✨ Perfection isn’t expected — clarity, confidence, and consistency matter more. Even if you miss a few answers, your problem-solving and reasoning approach will speak for you. If you’re preparing for the Infosys SP role, focus on: ✅ DSA + core Java + DBMS fundamentals ✅ Explaining your approach clearly ✅ Keeping a positive attitude even when you get stuck Each step teaches something valuable — and that’s what truly counts. 💪 #infosys #SpecialistProgrammer #consistency #DSA #problem-solving

⚡ If you’re preparing for Data Engineering interviews at TCS, Infosys, or Wipro… you need to go beyond “basic SQL.” These companies are asking real-world, scenario-driven questions 👇 🔹 PySpark → Flatten nested JSON, handle nulls, create UDFs, 7-day rolling averages. 🔹 Spark → Difference between repartition vs coalesce, explain jobs → stages → tasks, AQE (Adaptive Query Execution). 🔹 Databricks → Liquid clustering, Unity Catalog setup, access tokens, multiple metastores. 🔹 Azure Synapse → Managed vs External tables, SCD Type 1 vs Type 2, schema-level access. 🔹 Data Quality → Where to apply checks (landing layer), handling error records (staging/ DLQ). 🔹 SQL Challenges → Find duplicates, third highest salary without window functions, top 10 active users in PySpark. 🔹 Delta Lake → Z-ordering for query performance. 💡 Key takeaway: It’s not about memorizing functions. It’s about knowing trade-offs & architecture decisions. #DataEngineering #PySpark #Databricks #Azure #SQL #BigData #InterviewPreparation

🚨 70% of Testers & SDETs Get Rejected in SQL Rounds. Here’s Why: You walk into an automation interview. You know Selenium, Playwright, TestNG, Jenkins, Git. You’ve written test cases. But then the interviewer asks: “Write a query to fetch the 2nd highest salary from an Employee table.” “How will you join two tables and fetch only the matching rows?” “Can you explain difference between WHERE and HAVING with an example?” “How do you find duplicate records in a table without using DISTINCT?” And suddenly... Your confidence drops. 🔶 𝗥𝗲𝗮𝗹 𝗧𝗮𝗹𝗸: Most testers don’t fail because they lack skills. They fail because they can’t handle SQL query rounds, which almost every MNC includes. 💡 That’s exactly why I created: 300 SQL Interview Questions & Answers (Real MNC Questions) ✅ Beginner → Advanced queries ✅ DDL, DML, Joins, Functions, Views, Triggers, Stored Procedures ✅ Asked in Infosys, TCS, Wipro, Accenture, Deloitte, PwC, KPMG & more ✅ Clear explanations, easy for beginners & valuable for experienced 👉 Grab your copy here: Check First comment 🔥 Don’t let SQL rounds be the reason you miss your dream job. Prepare smarter, not harder. #SQL #SDET #AutomationTesting #InterviewPreparation #rdautomationlearning

DEEP DIVE: Data Engineering Interview Questions for TCS, Infosys, & Wipro (2025 Prep!) 🛠️ Are you preparing for a Data Engineer interview with a major firm like TCS, Infosys, or Wipro? I've compiled a comprehensive PDF covering the most frequently asked questions across key areas. The attached document covers essential topics that were tested in 2024/2025 and are crucial for success, including: PySpark & Databricks: Handling nested JSON , UDFs , rolling averages using Window functions , and the difference between repartition and coalesce. Spark Architecture & Optimization: Explaining Jobs, Stages, Tasks , the impact of inferSchema , and optimization techniques like AQE. Modern Data Stack (Delta Lake & Azure): Understanding Liquid Clustering , comparing Databricks and Synapse , and the difference between ADLS Gen1 and Gen2. Data Governance & Security: Implementing schema-level access using Unity Catalog , and setting up disaster recovery. SQL Fundamentals: Essential queries like finding duplicate rows and finding the Nth highest value without analytical functions. Download the attached PDF for the full set of questions and detailed answers! 📄 What is the most complex PySpark optimization technique you've had to use in a real-world project? Share your thoughts below! 👇 #DataEngineer #TCS #Infosys #Wipro #InterviewPrep #PySpark #Databricks #SQL #DataEngineeringJob

Recently appeared for an interview at Infosys and tackled some exciting backend and system design problems: 🧩 Rate Limiter – Built from scratch using the Sliding Window algorithm, implemented at the per-request filter level using interfaces in Spring Boot (no Bulkhead annotations or external libraries) 🔗 URL Shortener – Developed using Base62 encoding with in-memory storage for URL mapping 🅿️ Parking System Design – Designed using OOP principles with core entities like Vehicle, Slot, Ticket, and added logic for booking, entry/exit, and payments 📌 Highly recommend preparing these topics if you're targeting backend roles! #InterviewExperience #BackendDevelopment #SpringBoot #Java #SystemDesign #RateLimiter #CodingInterviews #OOPDesign #LinkedInTech

Tata Consultancy Services (TCS) just reported its Q2 FY26 results - and it’s more than just earnings. In this AlphaCall episode, Radhakrishnan Chonat breaks down what really matters: - TCS’s big bet on becoming the world’s largest AI-led tech services company - Announcing India’s largest AI data center - a 1GW sovereign infra push - Net headcount decline of 19,755 employees and plans to lay off 12,000 more - $10.2 billion in deal wins this quarter, including a mega BFSI deal - 281,000 employees joined an AI hackathon, generating over 500,000 GenAI use cases - Margin improvement, cautious global demand, and green shoots in Europe and retail Whether you're an investor, analyst, tech leader, or just curious about how India’s largest IT company is reinventing itself - this episode gives you the full context in under 12 minutes. Watch till the end for our takeaways from the earnings call Q&A and what to watch for next quarter. https://lnkd.in/g6A-3MAh #tcsearnings #earningscalls

TCS' costly data centre venture raises questions over returns, fit Tata Consultancy Services' (TCS) latest strategy to marry its legacy IT services business with a capex-heavy data centre venture could prove returns-dilutive with limited operational synergies, analysts said. 📌 However, as AI disrupts its core business, diversifying into new segments could support the company's long-term growth. By Himanshi Lohchab

💥 𝐃𝐨𝐢𝐧𝐠 1𝟑𝟎𝟎+ 𝐃𝐒𝐀 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐰𝐨𝐧’𝐭 𝐡𝐞𝐥𝐩 𝐮𝐧𝐥𝐞𝐬𝐬 𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐞𝐬𝐞 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬! Every top candidate who cracks multiple offers knows this secret 👇 They don’t just solve random questions, they master 20+ Coding Patterns that cover 90% of interview problems 🔥 💡 Once you learn these patterns, you can: ✅ Identify problems faster ✅ Solve any DSA question smartly ✅ Crack companies like TCS, Infosys, Amazon, Google & more But here’s the problem — most people don’t know how to learn patterns effectively. 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐭𝐡𝐢𝐬 𝐀𝐈 𝐃𝐒𝐀 𝐦𝐞𝐧𝐭𝐨𝐫 𝐭𝐨𝐨𝐥:  https://lnkd.in/gmP3YhV9 It helps you: 🚀 Understand which pattern a question belongs to 🚀 Practice variations of the same problem 🚀 Get instant feedback on your logic 🚀 Build intuition instead of memorizing solutions Use this tool alongside these patterns to build intuition faster. And to help you get started, I bring you the compiled 𝐓𝐨𝐩 𝟐𝟎+ 𝐂𝐨𝐝𝐢𝐧𝐠 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐭𝐨 𝐂𝐫𝐚𝐜𝐤 𝐀𝐧𝐲 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 👇 📄 Want the PDF copy of all 20+ Coding Patterns? Drop a “Pattern” in the comments — but make sure you follow me & send a connection request, then only I can DM you the link! 📌 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐫𝐞𝐟𝐞𝐫𝐫𝐚𝐥𝐬? Follow Keshav Vijay, send a connection request, share your resume + skill set, and let’s connect! #DSA #CodingInterview #PlacementPreparation #CareerTips #Freshers #SoftwareEngineer #TechJobs #paidpartnership #Leetcode

What does it mean when India’s largest IT services company announces its ambition to become the world’s largest AI-led tech firm, lays off 2% of its staff, and commits billions to build India’s biggest AI data center? In the latest AlphaCall episode, we break down Tata Consultancy Services' (TCS) Q2 FY26 Earnings: - TCS’s big bet on becoming the world’s largest AI-led tech services company - Announcing India’s largest AI data center — a 1GW sovereign infra push - Net headcount decline of 19,755 employees and plans to lay off 12,000 more - $10.2 billion in deal wins this quarter, including a mega BFSI deal - 281,000 employees joined an AI hackathon, generating over 500,000 GenAI use cases 🎧 Listen to the full analysis here: https://lnkd.in/gQF2PS8H At AlphaStreet, we go beyond headlines - unpacking earnings call nuances to spot real trends. Follow #AlphaCall for sharp, data-driven takes on India Inc. earnings calls. #tcs #earnings #software #ITservices