Data Engineering
Certification Course Online | Meritshot
Secure Positions with the World’s Top Tech & Security Companies
What You will Learn?
Why Choose Meritshot?
Meritshot programs are built with one goal — career outcomes
TRANSFORMATIONS
From Data Confusion to Production-Ready Data Engineering Roles — Here’s How Professionals Transform
DATA ANALYST
“I could write SQL, but I couldn’t explain how data flows end to end.
This program helped me design full pipelines and understand what breaks in production — and why.”
NON-TECH
“I didn’t come from a hardcore engineering background.
The structured approach and mentor support helped me understand data systems logically instead of memorizing tools.”
IT PROFESSIONAL
“I worked in tech, but data pipelines felt like a black box. Now I can design, debug, and explain pipeline decisions confidently in interviews and at work.”
NON-TECH
“I didn’t come from a hardcore engineering background.
The structured approach and mentor support helped me understand data systems logically instead of memorizing tools.”
IT PROFESSIONAL
“I worked in tech, but data pipelines felt like a black box. Now I can design, debug, and explain pipeline decisions confidently in interviews and at work.”
DATA ANALYST
“I could write SQL, but I couldn’t explain how data flows end to end.
This program helped me design full pipelines and understand what breaks in production — and why.”
Why This Data Engineering Program Stands Out
Most data engineering courses focus only on tools.
We focus on building real, production-ready data engineers.
You work on real business data problems.
Industry Vetted Curriculum
Upskilling from Merithshot gives you an Unfair Advantage by placing you ahead of the curve.
Meritshot Alumni
Success Stories
Join hundreds of professionals who've transformed their careers with Meritshot.
After 6+ years in sales at IndianOil, Mayank transitioned into data and AI with Meritshot. With expert mentorship, he converted his sales experience into strong data narratives, built real-world machine learning projects, and prepared for competitive AI interviews—successfully moving into a full-time data role.
With hands-on experience in data pipelines and analytics, this professional refined their expertise at Meritshot to step into a high-impact data engineering role. Through focused guidance on data modeling and pipeline optimization, they now help process large-scale datasets and improve data reliability across teams at HCL.
Seeking a shift from hands-on development to strategic data enablement, this professional leveraged Meritshot’s structured guidance to position expertise in data architecture, governance, and cloud platforms. Now at PwC, they help organizations build scalable data systems and enable reliable, insight-driven decision-making.
Looking to move into a strategic data governance role, this professional gained deep expertise in data frameworks through Meritshot. Today, they specialize in data quality, compliance, and standards, helping organizations build reliable, scalable, and future-ready data ecosystems.
Aiming to work on large-scale data platforms, this professional strengthened skills in data pipelines and distributed systems with Meritshot. Now a Data Engineer at TCS, they build scalable data solutions and help enhance organizational data reliability.
With Meritshot’s structured roadmap, this professional transitioned from mechanical engineering to data engineering by building strong programming and data pipeline skills. Now a Data Engineer at Jupiter, they achieved a 120% career hike and a role they’re excited about.
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Build Capstone Projects
with Real-world Applications
Domain-Driven Case Studies
Work on curated projects in finance, retail, healthcare, HR, and tech—designed to make you industry-ready with practical BA deliverables.
Supply Chain Optimization for Walmart
Design a scalable pipeline to unify supplier, warehouse, and retail sales data. The system helps Walmart forecast demand, reduce stock-outs, and streamline distribution.
Tech Stack
Streaming Content Insights for Disney+
Develop a real-time pipeline to capture user watch behavior, helping Disney+ identify trending shows, peak hours, and optimize recommendations.
Tech Stack
Energy Consumption Analytics for Tesla
Build a system that processes IoT sensor data from Tesla charging stations. Provide real-time insights into energy usage, predict demand spikes, and improve grid efficiency.
Tech Stack
Personalized Marketing Analytics for Starbucks
Create a big data solution to process millions of transactions daily, delivering personalized offers and recommendations to increase customer engagement retention and drive measurable business growth.
Tech Stack
Fraud Detection for Mastercard
Develop a fraud detection pipeline to analyze streaming transactions in real time, instantly flagging suspicious activity to prevent financial losses and strengthen security with faster response.
Tech Stack
Smart City Traffic Management for Singapore Govt.
Process live traffic feeds and GPS data from public transport. Provide real-time congestion heatmaps and suggest optimized routes to reduce traffic jams in the city.
Tech Stack
Real-Time Stock Market Analytics for JP Morgan
Create a high-frequency trading analytics system to process market tick data. Deliver real-time dashboards with volatility, liquidity, and trade recommendations for traders.
Tech Stack
Flight Delay Prediction for Delta Airlines
Implement a pipeline that analyzes live flight and weather data to predict delays. Support airline operations with proactive alerts and improved passenger experience.
Tech Stack
Get Placed in Top Product Based Companies
With 400+ Hiring partners and 360° comprehensive career assistance is secured
Our Expert Mentors
With Highly Experienced Instructors & Mentors you are in SAFE Hands
Lead software engineer
Exp: 6.5 Years
Shubham Chaudhary is a Lead Software Engineer at Nokia with 6+ years of experience in microservices, Kubernetes, and distributed systems. He’s also passionate about mentoring and tech communities.
Software Engineer
Exp: 4 Years
Rahul Roy is a Software Engineer specializing in Java, Spring Boot, and microservices architecture. He has hands-on experience with cloud platforms and enjoys simplifying complex backend problems for learners.
Senior Software Engineer
Exp: 7 years
Archit Tripathi is a Senior Software Engineer at MakeMyTrip with 7+ years of experience in backend development, microservices, and scalable distributed systems. He enjoys mentoring developers and contributing to tech communities.
Solution Architect
Exp: 5+ Years
Manas Bhardwaj is a Solution Architect with strong expertise in Azure, .NET, and enterprise-grade application design. He actively contributes to the developer community and mentors professionals in modern Microsoft technologies.
Software Engineer
Exp: 9+ Years
Gaurav Roy is a Full-Stack Developer at Microsoft with expertise in Java, JavaScript, React, and system design. He focuses on building high-performance applications and guiding engineers through best coding practices.
Lead software engineer
Exp: 6.5 Years
Shubham Chaudhary is a Lead Software Engineer at Nokia with 6+ years of experience in microservices, Kubernetes, and distributed systems. He’s also passionate about mentoring and tech communities.
Software Engineer
Exp: 4 Years
Rahul Roy is a Software Engineer specializing in Java, Spring Boot, and microservices architecture. He has hands-on experience with cloud platforms and enjoys simplifying complex backend problems for learners.
Senior Software Engineer
Exp: 7 years
Archit Tripathi is a Senior Software Engineer at MakeMyTrip with 7+ years of experience in backend development, microservices, and scalable distributed systems. He enjoys mentoring developers and contributing to tech communities.
Solution Architect
Exp: 5+ Years
Manas Bhardwaj is a Solution Architect with strong expertise in Azure, .NET, and enterprise-grade application design. He actively contributes to the developer community and mentors professionals in modern Microsoft technologies.
Software Engineer
Exp: 9+ Years
Gaurav Roy is a Full-Stack Developer at Microsoft with expertise in Java, JavaScript, React, and system design. He focuses on building high-performance applications and guiding engineers through best coding practices.
Microsoft Accredited
Certificates
Earn globally recognized certificates that validate your skills and boosts your career prospects
Get certificates backed by Microsoft, trusted by recruiters at top product companies worldwide.
Each certificate validates real world projects & mentor endorsements- not just theory
Your achievements are instantly verifiable by employers with global acceptance.
Certificates Issued
Employer Recognition
Acceptance
Your Career Growth
Roadmap
A proven 4-step path to take you from upskilling to your dream job
Stand out with a sharp resume, optimized LinkedIn/GitHub, and a strong personal brand.
Ace every round with 1:1 mock interviews, role-specific training, and actionable feedback.
Apply to 200+ hiring partners and clear technical interview rounds.
Land a High Paying Job Offer from Top Product Based Companies.
Ready to Level Up Your Career?
Join professionals who’ve launched their careers with Meritshot. Gain job-ready skills and step into high-demand roles today!
Learn at your own pace while balancing work or studies.
Train directly with industry-certified professionals.
Microsoft-accredited program
Access 400+ hiring partners, job fairs & alumni referrals.
Placement rate
Highest CTC
Hiring Partners
Salary Hike
Assignments That
Replace Guesswork With Real Skills
7 industry-demanded assignments that reflect how data scientists actually work inside companies today.
Basic Assignments
Data Ingestion & ETL Pipeline Fundamentals
Data Modeling & Warehouse Design
Intermediate Assignments
Workflow Orchestration & Pipeline Automation
Distributed Data Processing with Big Data Tools
Advanced Assignments
Real-Time Data Streaming & Event Processing
Cloud-Based Data Engineering & Deployment
End-to-End Data Engineering Capstone Project
Lab Sessions Where
Data Engineering with AI Finally Clicks
That’s exactly why the Data Engineering at Meristhot includes structured, live, hands-on lab sessions — designed to turn abstract concepts into real engineering skills.
Expert-Led Guest Sessions
Most courses teach what should work.
These guest lectures show what actually works in production — and what breaks.
High-level
Non-interactive
Disconnected from real work
Real decisions, not definitions
Current industry problems
Case-driven, not theory-driven
What You’ll Actually Learn From Industry Experts
Most courses teach what should work. These guest lectures show what actually works in production — and what breaks.
- What happens after a data pipeline goes live
- Why “working locally” often fails in production
- How teams handle data failures, schema changes, and pipeline delays
- Tools and workflows used by modern data engineering teams
- Why do some popular tools or architectures not scale in real systems
- How cost, performance, and reliability trade-offs are made
- How teams monitor and debug broken pipelines
- Handling late data, backfills, and partial failures
- Designing recovery strategies and data quality checks
Interactive by Design — Not a
One-Way Talk
These guest lectures are discussion-led, not broadcast-style.
One-Way Talkk.
- Live case breakdowns
- Open Q&A (technical + career)
- Follow-up questions encouraged
Industries. One Reality Check.
- Product companies and startups
- Fintech, SaaS, e-commerce, analytics teams
- Engineering teams using AI in production
“Is this important?”
They start asking:
“How would this hold up in a real system?”
That shift in thinking is what turns learners into practicing Data engineers.
(Blunt Truth)
- Have never seen production reality
- Don’t understand trade-offs
- Overestimate what matters
You’re Not Left to Figure It Out
Most programs dump content and disappear. We do the opposite.
1. Structured Onboarding (No Guesswork)
- Clear learning roadmap from Day 1
- Defined weekly outcomes (what you should actually be able to do)
- Tool setup + environment walkthrough
- Expectations set upfront — no surprises later
2. Active Mentor & Instructor Support
- Dedicated mentors for doubt resolution
- Concept clarification during and after lab sessions
- Guidance on how to approach problems, not just answers
- Help when you’re stuck — technically or mentally
3. Assignment & Project Guidance (Not Hand-Holding)
- Clear problem understanding sessions
- Feedback on approach, logic, and assumptions
- Help identifying mistakes before they become habits
- Review focused on industry expectations, not academic perfection
4. Career & Interview Assistance (Reality-Based)
- Resume and project positioning support
- Interview mindset and expectation setting
- Guidance on how to explain decisions, trade-offs, and failures
- Clarity on what actually matters for Data Science & AI roles
5. Continuous Check-Ins & Accountability
- Dedicated mentors for doubt resolution
- Concept clarification during and after lab sessions
- Guidance on how to approach problems, not just answers
- Help when you’re stuck — technically or mentally
a real system?”
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Rohit S.
This program connected everything — ingestion, transformation, orchestration, failures, and scale.
For the first time, I could explain an end-to-end pipeline instead of just querying tables.”
Neha K.
The structured onboarding, step-by-step pipeline building, and mentor guidance made learning realistic.
Instead of memorizing tools, I learned how data systems are designed and maintained.”
Aakash M.
The focus on failures, monitoring, and trade-offs helped me build pipelines that actually survive production.
Now I participate in architecture decisions, not just implementation.”
Pooja R.
The resume and interview guidance helped me explain why I made certain design choices.
That clarity completely changed how I approach data engineering interviews.”
You’re enrolling in structured support
designed to get results.
Course Preview
Expert-Led No.1
Data Engineering
