Data Engineering with Generative & Agentic AI Specialisation

Become an AI-Powered Data Engineer in Just 7 Months with Meritshot’s 360° Career Assistance & AI focused curriculum for Job Switch

Secure Positions with the World’s Top Tech & Security Companies

What You will Learn?

Python & SQL
ETL & Data Warehousing
Big Data (Hadoop / PySpark / Kafka)
Cloud (AWS / Azure / GCP)
DSA & System Design
Generative & Agentic AI

Where can this take you?

Explore new career heights with meritshot  and gain a transformative learning experience that equips you to excel in investment banking operations.

Data Engineer

Build and maintain scalable data pipelines, transform raw data into usable formats, and ensure data accessibility for analytics teams.

Skills:

Big Data Engineer

Specialize in processing and managing large-scale datasets using distributed frameworks for analytics and business insights.

Skills:

Cloud Engineer (Data Focused)

Design and manage cloud-based data infrastructure to support storage, processing, and security of enterprise data.

Skills:

ETL Developer

Design ETL pipelines to extract, transform, and load data efficiently across systems while ensuring data quality.

Skills:

AI Engineer (Data-Oriented)

Leverage big data & ML to build AI solutions for better predictions, automation, and decisions.

Skills:

DevOps Engineer – Data Infra

Automate, deploy, and monitor data applications with CI/CD pipelines, ensuring scalability and high availability.

Skills:

What Learners Say About Us?

Join hundreds of professionals who've transformed their careers with Meritshot.

 “From Excel pivots to building HIPAA-compliant pipelines with SQL, PySpark & Airflow. Created real-time patient dashboards and automated schema governance. Reduced reporting latency from 8 hours to 40 minutes, driving a 120% salary hike.”

Sonal Mehta

Excel Analyst → Data Engineer

 “Shifted from BI reports to AWS pipelines (Kinesis, Glue, Redshift, Athena). Built streaming fraud detection pipelines that cut detection time from 2 hours to 8 minutes. Optimized infra to save ₹16 lakhs annually, securing my role as a cloud-first engineer.”

Rohit Khanna | BI Developer

 Cloud Data Engineer

 “From non-CS background to building IoT data pipelines with Kafka & Spark. Designed telemetry flows for connected cars and solved schema drift challenges. Reduced downtime alerts by 35%, showcasing impact on critical automotive systems.”

 Prerna Iyer

 Mechanical Engineer → Data Engineer

 “Upgraded from legacy ETL (Informatica) to Spark, Airflow & dbt. Migrated batch jobs into event-driven pipelines with Kafka and Delta Lake. Reduced job failures by 30% while building scalable pipelines for e-commerce data at production scale.”

Amit Saha

ETL Developer → Modern Data Engineer

 “From firefighting tickets to building resilient GCP data pipelines. Designed monitoring, lineage, and anomaly detection systems for campaign data feeds. Reduced escalation tickets by 62% and shifted to a proactive DataOps role.”

 Nisha Rao

Support Engineer → DataOps Engineer

“Moved beyond SQL queries to architecting CDC-enabled banking pipelines. Built fraud scoring workflows with Kafka, Spark & dbt and ensured SLA-driven reliability. Reduced reporting cycles from 6 hours to 55 minutes, praised by auditors.”

 Karan Patel

SQL Developer → Data engineer

 “Started with Python & SQL basics and progressed to Spark, Airflow & dbt. Built a retail sales pipeline that automated POS ingestion and KPI reporting. Now manage inventory APIs at a retail startup, saving ops teams 15 hours per week.”

Shruti Nair

Fresher → Data Engineer

 “Transitioned from ML model tuning to owning reliable data pipelines. Built churn-prediction pipelines with Kafka, Spark & Delta Lake, integrating CDC and CI/CD. Reduced downtime by 42%, earning recognition as the ‘data reliability engineer’ in my SaaS firm.”

Aditya Menon

Data Scientist → Data Engineer (SaaS)

Why Choose Meritshot?

Upskilling from Meritshot gives you an Unfair Advantage by placing you ahead of the curve.

AI-First Curriculum

The only Data Engineering program designed with AI at its core — integrating Generative AI, Agentic AI, and Prompt Engineering into every stage of learning.

Interview Simulations

On-demand mock interviews with actual product company hiring managers, helping you tackle the toughest technical and behavioral questions with confidence.

Product Company Prep

Tailored training in Cloud (AWS, Azure, GCP), Big Data tools, DSA, and System Design — exactly at the standards expected by FAANG and top product giants.

1:1 Expert Mentorship

Learn directly from industry leaders, IIT alumni, and FAANG engineers, with personalized guidance at every stage of your journey.

360° Career Support

Beyond technical training — we support you with resume building, mock interviews, networking, and salary negotiations, backed by 400+ recruiter connections.

Small Batches, Big Learning

Focused, interactive learning in limited batch sizes, ensuring personal attention, peer collaboration, and deep understanding.

Industry Vetted Curriculum

Boost your Data Engineer Career to an Advanced Level and Stay Ahead of the Curve

6 Weeks
Overview
Crack tough SQL/Python rounds, handle large datasets, write clean & optimized code.
What You’ll Learn
Python 
Flowcharts, Data Types, Operations 
Conditional Statements, Loops, and Strings
Inbuilt Data structures- List, Tuples, Dictionary, Set, Matrix Algebra, Number system
Advanced OOPs, Exception Handling, Functional Programming
Time & Space Complexity in Python (Big-O analysis)
Libraries: Pandas, NumPy, Matplotlib, Seaborn, and PySpark Basics
Debugging, Unit Testing, Code Optimization
SQL + NoSQL
Introduction to Database and BigQuery setup
Extracting data using SQL
Functions, Filtering, and Subqueries
Advanced Joins, Window Functions, and Recursive Queries
Query Optimization, Indexing, Partitioning
Transactions & Isolation Levels (ACID vs BASE)
NoSQL: MongoDB, Cassandra use cases at scale
Learning Outcomes:
Confidently manipulate data using Python & SQL.
Build structured queries for real-world datasets.
Apply core programming and database concepts to solve business problems.
8 Weeks
Overview
Build enterprise-scale ETL and data warehouse systems like those at Netflix/Amazon.
What You’ll Learn
ETL Pipelines
Batch & Real-Time ETL Concepts ( Extract, Transform, Load)
Apache Airflow (Workflow Orchestration)
Apache NiFi, AWS Glue, dbt (modern transformations)
Data Quality Frameworks (Great Expectations, Deequ)
Data Warehousing 
OLTP vs OLAP, Dimensional Modeling (Kimball/Inmon)
Star & Snowflake Schema Design
Cloud Warehouses: BigQuery, Redshift, Snowflake
Query Optimization & Partitioning Strategies
Learning Outcomes:
Design and deploy scalable ETL pipelines.
Implement data warehouses with industry-standard schemas.
Integrate multiple data sources for business-ready reporting.
7 Weeks
Overview
FAANG-level distributed systems & cloud mastery.
What You’ll Learn
Hadoop
HDFS( Hadoop Distributed File System)
YARN ( Yet Another Resource Negotiator
Map Reduce
Pyspark
Spark core concepts: RDDs, DataFrames, and Spark SQL
Parallel processing and distributed computing with Spark
Spark for data transformation, aggregation, and analytics
Powerful data processing with PySpark for scalable analytics.
Distributed Databases
CAP Theorem, consistency, availability, partition tolerance
Cassandra, HBase: Columnar data stores for large-scale datasets
Data Streaming
Apache Kafka (producers, consumers, partitions, offsets)
Kafka Streams, Spark Streaming, Flink basics
AWS
AWS EMR
On-Prem vs Cloud
HDFS vs S3
What is S3
EC2
Elastic IP
AWS Storage, Networking
S3 and EBS
AWS Glue
AWS Redshift
AZURE
Azure Data Factory
Azure Databricks
Azure Synaps analytics
Azure Blob Storage
GCP
Bigquery
Pub/sub
Linux
Introduction to Linux
File system navigation
Process Management
Shell Scripting
System configuration and advanced Linux commands
What You’ll Learn
Process massive datasets with Hadoop & Spark.
Build cloud-native ETL and analytics pipelines.
Apply real-time streaming for clickstream & IoT data.
4 Weeks
Overview
Handle scale, resilience, automation, and security like FAANG engineers.
What You’ll Learn
Advanced Data Engineering 
High Availability & Fault-Tolerant Architectures
Data Lake vs Lakehouse (Delta Lake, Apache Iceberg)
Scalable pipeline design patterns
DevOps for Data Engineering
CI/CD for Data Pipelines (GitLab/Jenkins)
Docker & Kubernetes for data workloads
Infra as Code (Terraform basics for data infra)
Data Security
Encryption (AES, KMS)
Authentication & Authorization (IAM, RBAC)
GDPR, HIPAA, and compliance basics
Learning Outcomes
Automate and monitor large-scale pipelines.
Ensure compliance & governance in data projects.
Secure enterprise data systems end-to-end.
8 Weeks
Overview
Ace FAANG-style coding + design interviews.
What You’ll Learn
DSA
Arrays, Strings, HashMaps
Linked Lists, Stacks, Queues
Trees, Tries, Graphs
Dynamic Programming
Sorting & Searching (Binary Search Variants, Quick/Merge Sort)
System Design
Designing Scalable Data Platforms
Event-Driven Architecture, Messaging Systems
Sharding, Replication, Consistency Models (CAP theorem)
Learning Outcomes
Solve complex problems with data-centric DSA.
Design scalable, fault-tolerant data systems.
 Apply system design principles to enterprise-scale platforms.
Optional, 6 Weeks Each
Overview
 Specialize in cutting-edge AI-driven data engineering by choosing electives aligned with your career goals.
What You’ll Learn
Generative AI for Data Engineering → Automating ETL, AI-driven documentation, LLMs in pipelines
Agentic AI (AI-Driven Workflows) → Multi-agent systems, intelligent orchestration, AI agents for monitoring.
Prompt Engineering for Data Engineers Automating SQL/NoSQL queries, integrating LLM APIs
Learning Outcomes:
Apply AI to optimize and monitor pipelines.
Automate data engineering tasks with AI agents.
Gain future-ready skills in AI-powered data workflows.

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

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

Personalized Marketing Analytics for Starbucks

Create a big data solution to process millions of transactions daily. Deliver personalized offers and recommendations, increasing customer engagement and retention.

Tech Stack

Fraud Detection for Mastercard

Develop a fraud detection pipeline to analyze streaming transactions in real time. Flag suspicious activity instantly to prevent financial losses and improve security.

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

Train with FAANG & IIT Instructors

With Highly Experienced Instructors & Mentors you are in SAFE Hands

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Saadh Khan

Investment Banking

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Chalsee Choudhary

Software Developer

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Saadh Khan

Investment Banking

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Chalsee Choudhary

Software Developer

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Earn your credentials

Earn dual credentials: Microsoft-accredited certificate and a Meritshot program completion certificate which is globally recognized, employer-trusted.

Get placed in top Finance Firms

With 400+ Hiring Partners and 360° Comprehensive Career Assistance is Secured

Your Career Growth Roadmap

A proven 5-step path to take you from upskilling to your dream job

Profile Power-Up

Stand out with a sharp resume, optimized LinkedIn/GitHub, and a strong personal brand.

Skill Transformation

Learn industry-relevant skills through real projects, updated curriculum, and hands-on practice.

⁠Interview Readiness

Ace every round with 1:1 mock interviews, role-specific training, and actionable feedback.

Hiring Rounds

Apply to 400+ hiring partners and clear technical interview rounds.

Offer Unlocked!

Land a High Paying Job Offer from Top Product Based Companies.

How do we compare

CategoryOtherMeritshot
Batch size150-200+25-30
SpecialisationNoneCloud, Generative AI, Agentic AI
CurriculumGeneric & OutdatedStructured & Latest
Career SupportLimited360° & Lifetime
1:1 Mentorship XYes
Case Studies & ProjectsFew15+ 
Payment OptionsLimitedEasy No Cost EMIs

Frequently Asked Question

Can't find what you're looking for? Contact our admissions team.

Q: Who is this Data Engineering program for?
Q: Do I need prior coding experience to join?
Q:  What tools and technologies will I learn?
Q: How practical is the program?
Q:  What career roles can I pursue after completing this program?
Q: Will I get exposure to AI in Data Engineering?
Q: Is there placement support after the program?
Q: Will I receive a certificate after completion?

Ready to Level Up Your Career?

Join thousands of professionals who've transformed their careers with Meritshot. Start your journey to success today!

Flexible Learning

Learn while working

Expert Mentors

MAANG professionals

Certified Program

Microsoft accredited

100% Placement

Guaranteed assistance

Certificate Includes
Free career counseling session
Lifetime access to learning materials
20% scholarship for early birds
Alumni network access