AI-Powered Data Engineering

Data Engineering with Generative
& Agentic AI

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

7 Months Program95% Placement42 LPA Highest CTC400+ Hiring Partners
Pipeline Dashboard — Meritshot DE

S3 / Kafka

Source

Spark

Transform

Redshift

Load

Dashboard

Serve

All pipelines healthy4/4 nodes active

95%

Placement

42 LPA

Highest CTC

400+

Partners

0%

Placement Rate

0 LPA

Highest CTC

0+

Hiring Partners

0 Months

Duration

The Meritshot Edge

Why Choose Meritshot for Data Engineering?

Gain a decisive advantage in data engineering — Meritshot combines hands-on cloud training, industry mentorship, and accelerated placement into top-tier product companies and data-driven enterprises.

Beginner to Pro Tracks

Our structured roadmap takes you from Python and SQL foundations to advanced data engineering to AI-powered pipelines — whether you're new to data or already in tech.

Hands-On Projects with Real Data

Work on industry-scale projects across finance, e-commerce, IoT, and cloud. From building fraud detection systems to real-time stock market pipelines, every project mirrors real-world challenges.

Cloud & Big Data Mastery

Gain multi-cloud expertise across AWS, Azure, and GCP, and hands-on experience with Hadoop, Spark, Kafka, and Flink. Skills directly aligned with what top employers demand.

AI-Driven Specialisations

Stay ahead of the curve with electives in Generative AI, Agentic AI, and Prompt Engineering for Data Engineers — making you future-ready for AI-driven data workflows.

Placement-First Approach

400+ recruiter network, alumni referrals, AI-powered resume builder, LinkedIn branding, and advanced mock interviews — all designed to help you land high-paying roles.

Small Batches, 1:1 Mentorship

Learn in small cohorts of 25–30 with dedicated mentors who provide personalised feedback, career guidance, and doubt resolution throughout the program.

Core Competencies

Build the Skills That Top Companies Demand

Data engineers build the pipelines that power every data-driven decision. Master the tools and frameworks used by teams at Netflix, Amazon, Google, and leading enterprises.

Python & SQL

Programming foundations, Pandas, NumPy, advanced SQL, NoSQL (MongoDB, Cassandra)

ETL & Data Warehousing

Apache Airflow, NiFi, dbt, AWS Glue, BigQuery, Redshift, Snowflake

Big Data Frameworks

Hadoop, PySpark, Kafka, Flink, Spark Streaming, distributed computing

Cloud Ecosystems

AWS (S3, EMR, Glue, Redshift), Azure (ADF, Databricks, Synapse), GCP (BigQuery, Pub/Sub)

DSA & System Design

Arrays, trees, graphs, dynamic programming, scalable data platforms, event-driven architecture

Generative & Agentic AI

LLMs in pipelines, AI-driven ETL automation, multi-agent orchestration, prompt engineering

Career Paths

Where Can This Take You?

Launch your career in data engineering with an industry-aligned curriculum that prepares you for the most in-demand roles across cloud, big data, and enterprise data platforms.

Data Engineer

Senior Data Engineer in 3–4 years

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

Data Pipeline DesignSQL & NoSQL DatabasesPython/ScalaData Warehousing

Big Data Engineer

Big Data Architect in 4–5 years

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

Hadoop & SparkDistributed ComputingData Lake ArchitectureReal-Time Processing

Cloud Engineer (Data Focused)

Cloud Solutions Architect in 3–5 years

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

AWS/GCP/AzureCloud Data WarehousingInfrastructure as CodeCloud Security

ETL Developer

Data Integration Lead in 3–4 years

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

ETL Tools (Airflow, Glue)SQL OptimizationData CleansingWorkflow Automation

AI Engineer (Data-Oriented)

Senior AI/ML Engineer in 3–4 years

Leverage big data and machine learning to design AI solutions that improve predictions, automation, and decision-making.

Machine LearningFeature EngineeringModel DeploymentPython (TF, PyTorch)

DevOps Engineer (Data Infra)

Platform Engineer in 3–5 years

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

CI/CD (Jenkins, GitHub Actions)Docker & KubernetesMonitoring (Prometheus)Cloud DevOps

Solutions Architect (Data)

Enterprise Architect in 5–7 years

Design end-to-end enterprise data solutions, integrating storage, analytics, AI, and cloud services into scalable architectures.

Enterprise Data ArchitectureCloud Solution DesignAPI & MicroservicesSecurity & Compliance

Analytics Engineer

Senior Analytics Engineer in 2–3 years

Bridge the gap between data engineering and analytics. Build clean, well-modelled data sets that empower analysts and data scientists to self-serve.

dbtSQL ModelingData QualitySemantic Layers

Data Governance Engineer

Data Governance Lead in 3–4 years

Ensure enterprise data quality, security, and compliance. Implement data cataloging, lineage tracking, and access controls across the data stack.

Data CatalogingData LineageAccess ControlCompliance (GDPR, HIPAA)
Alumni Success

Real Stories, Real Impact

Discover how our alumni transformed their careers — from diverse backgrounds into high-impact data engineering roles at leading companies.

SM

Sonal Mehta

Data Engineer · Healthcare Firm

+120% Hike

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.

Previously

Excel Analyst

Now at

Healthcare Firm

Data Engineer

RK

Rohit Khanna

Cloud Data Engineer · FinTech

+95% Hike

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.

Previously

BI Developer

Now at

FinTech

Cloud Data Engineer

PI

Prerna Iyer

Data Engineer · Manufacturing

+85% Hike

From non-CS background to building IoT data pipelines with Kafka & Spark. Reduced downtime alerts by 35% and automated predictive maintenance data flows for factory equipment.

Previously

Mechanical Engineer

Now at

Manufacturing

Data Engineer

AS

Amit Saha

Modern Data Engineer · E-Commerce

+75% Hike

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 at production scale.

Previously

ETL Developer

Now at

E-Commerce

Modern Data Engineer

NR

Nisha Rao

DataOps Engineer · AdTech

+90% Hike

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%.

Previously

Support Engineer

Now at

AdTech

DataOps Engineer

KP

Karan Patel

Data Engineer · Banking

+80% Hike

Architecting CDC-enabled banking pipelines that process millions of transactions daily. Reduced reporting cycles from 6 hours to 55 minutes using Spark Structured Streaming and Delta Lake.

Previously

SQL Developer

Now at

Banking

Data Engineer

SN

Shruti Nair

Data Engineer · Retail

First Job!

Built retail sales pipeline automating POS ingestion and KPI reporting using Airflow, Spark & BigQuery. Saved 15 hours/week for ops and landed my first role straight out of the program.

Previously

Fresher

Now at

Retail

Data Engineer

AM

Aditya Menon

Data Engineer (SaaS) · SaaS Startup

+70% Hike

Built churn-prediction pipelines with Kafka, Spark & Delta Lake. Moved from ad-hoc notebook analysis to production-grade streaming infrastructure. Reduced downtime by 42%.

Previously

Data Scientist

Now at

SaaS Startup

Data Engineer (SaaS)

Program Curriculum

5 Modules + Electives. 33+ Weeks. One Career Transformation.

Structured around industry hiring standards — from data foundations all the way to cloud-native pipelines and system design for data engineering.

Crack tough SQL/Python interview rounds, handle large datasets, and write clean, optimized code. Build the programming foundation every data engineer needs.

What You'll Learn

Python — data types, OOPs, exception handling, functional programming & Big-O analysis
Libraries — Pandas, NumPy, Matplotlib, Seaborn & PySpark basics
Debugging, unit testing & code optimization
SQL — BigQuery setup, advanced joins, window functions & recursive queries
Query optimization, indexing & partitioning strategies
Transactions & isolation levels (ACID vs BASE)
NoSQL — MongoDB, Cassandra use cases at scale

Project: Real-World Dataset Analysis with Python & Advanced SQL

Outcomes

Confidently manipulate data using Python & SQL
Build structured queries for real-world datasets
Apply core programming and database concepts to solve business problems

Program Highlights

Upskilling that gives you an Unfair Advantage

500+

Hours of Content

250+

Live Sessions

80+

Assignments

30+

Industry Projects

15+

Case Studies

10+

Mock Tests

8

Capstone Projects

Learning Format

How You'll Learn

Weekend Live Classes

Interactive sessions with data engineering professionals

1:1 Mentorship

Personalized guidance from senior data engineers

Recorded Lectures

Lifetime access to all course material

Hands-on Projects

Practice on real datasets and production pipelines

Start Today

Ready to transform your career?

Join 4,200+ learners already enrolled.

Real-World Cases

Industry Projects & Case Studies

Work on projects designed in collaboration with real-world industry use cases.

WLMTSupply Chain Analytics
Module 02

Walmart — Supply Chain Optimization

Design a scalable data pipeline that integrates supplier, warehouse, and retail data into a unified warehouse. Use this to forecast demand, optimize inventory, and reduce stock-outs.

Skills Applied

Apache NiFiSparkAWS RedshiftTableau
DIS+Real-Time Streaming
Module 03

Disney+ — Streaming Content Insights

Build a real-time data pipeline to capture and process user activity logs, analyze peak watch hours, and provide content insights for personalization engines.

Skills Applied

Apache KafkaSpark StreamingBigQueryLooker
TSLAIoT Data Pipelines
Module 03

Tesla — Energy Consumption Analytics

Develop a data pipeline that collects and analyzes IoT sensor streams to forecast demand spikes and improve grid efficiency for sustainable energy management.

Skills Applied

Azure Event HubsDatabricksPower BIIoT Sensors
DALPredictive Analytics
Module 03

Delta Airlines — Flight Delay Prediction

Create a real-time pipeline that processes flight logs and weather feeds to predict delays and send proactive alerts to airline operations teams.

Skills Applied

Apache KafkaApache FlinkAzure SynapsePython ML
SBUXBig Data Analytics
Module 03

Starbucks — Personalized Marketing

Build a big data solution that processes large-scale transactions, segments customers, and generates personalized offers and recommendations.

Skills Applied

HadoopSpark MLlibAWS RedshiftTableau
MAReal-Time Fraud Detection
Module 04

Mastercard — Fraud Detection

Develop a fraud detection pipeline that processes streaming credit card transactions in real time, flags anomalies, and updates fraud detection dashboards.

Skills Applied

Apache KafkaApache FlinkGCP BigQueryPython
SGPSmart City IoT
Module 03

Singapore Gov — Smart City Traffic

Design a pipeline that processes live GPS feeds and traffic data to build real-time congestion heatmaps and recommend optimized routes for public transport.

Skills Applied

KafkaAzure IoT HubSpark StreamingData Lake
JPMFinancial Data Streaming
Module 05

JP Morgan — Real-Time Stock Analytics

Build a high-performance analytics system to process market tick data and deliver real-time dashboards with risk indicators and trade recommendations.

Skills Applied

Apache KafkaApache FlinkAWS RedshiftPower BI
NFLXML Data Pipeline
Module 04

Netflix — Content Recommendation Pipeline

Design a feature engineering pipeline that processes viewing history, ratings, and metadata to feed recommendation models with low-latency feature serving.

Skills Applied

Apache SparkAWS S3Delta LakePython ML
Tech Stack

Tools & Technologies

From Python & Airflow to Docker, Kafka & AWS — every tool you'll master is embedded in hands-on projects.

40+Tools8Domains100%Hands-on

Languages

4 tools

PythonSQLBashScala

ETL & Orchestration

5 tools

Apache AirflowApache NiFiAWS GluedbtGreat Expectations

Big Data

6 tools

HadoopApache SparkPySparkApache KafkaApache FlinkSpark Streaming

Databases

6 tools

PostgreSQLMySQLMongoDBCassandraHBaseRedis

Cloud — AWS

7 tools

S3EC2EMRGlueRedshiftAthenaKinesis

Cloud — Azure

5 tools

Data FactoryDatabricksSynapse AnalyticsBlob StorageEvent Hubs

Cloud — GCP

5 tools

BigQueryPub/SubDataflowCloud StorageLooker

DevOps & AI

7 tools

DockerKubernetesTerraformJenkinsLangChainPrometheusGrafana

Data Governance

5 tools

Apache AtlasOpenMetadataGreat ExpectationsMonte CarloCollibra
PythonSQLBashScalaApache AirflowApache NiFiAWS GluedbtGreat ExpectationsHadoopApache SparkPySparkApache KafkaApache FlinkSpark StreamingPostgreSQLMySQLMongoDBCassandraHBaseRedisS3EC2EMRGlueRedshiftAthenaKinesisData FactoryDatabricksSynapse AnalyticsBlob StorageEvent HubsBigQueryPub/SubDataflowCloud StorageLookerDockerKubernetesTerraformJenkinsLangChainPrometheusGrafanaApache AtlasOpenMetadataGreat ExpectationsMonte CarloCollibraPythonSQLBashScalaApache AirflowApache NiFiAWS GluedbtGreat ExpectationsHadoopApache SparkPySparkApache KafkaApache FlinkSpark StreamingPostgreSQLMySQLMongoDBCassandraHBaseRedisS3EC2EMRGlueRedshiftAthenaKinesisData FactoryDatabricksSynapse AnalyticsBlob StorageEvent HubsBigQueryPub/SubDataflowCloud StorageLookerDockerKubernetesTerraformJenkinsLangChainPrometheusGrafanaApache AtlasOpenMetadataGreat ExpectationsMonte CarloCollibra
Certification

Industry-Recognized Certification

Earn credentials that top employers trust — backed by real-world projects and globally verifiable digital certificates.

Sample Meritshot Data Engineering completion certificate

Meritshot Program Certificate

Professional Data Engineering Program · Meritshot

What's Included

Meritshot Program Completion Certificate
Microsoft Azure Data Engineer Certificate
Project Portfolio
Digital Verification
Mentor Endorsement
Lifetime Validity

3000+

Certificates Issued

100%

Employer Recognition

Global

Acceptance

Globally Recognized Credentials

Dual certification — Meritshot Program Certificate plus Microsoft Azure Data Engineer Certificate, trusted by employers worldwide.

Built for Career Impact

Certificates backed by 30+ real-world projects, cloud-native pipelines, and mentorship from senior data engineers at top companies.

Seamless Digital Verification

Achievements instantly verifiable and globally accepted by recruiters across data engineering, cloud, and AI roles.

Expert Mentors

Learn From the Industry's Finest Engineers

Train under senior data engineers, cloud architects, and AI specialists who bring real production-pipeline expertise to every session.

CA

Chintada Abhilash

Data Science Leader

7+ years experience

Expert in AI, ML, and predictive analytics with 7+ years of hands-on experience in building automation systems and data-driven solutions across industries.

HA

Heena Arora

Data Scientist — PwC & Amazon

3+ years experience

Data scientist with experience at PwC and Amazon specializing in predictive modeling, advanced analytics, and production data pipelines for enterprise clients.

SD

Saurabh Daund

AI & Data Science Professional

5+ years experience

Specialist in NLP, Generative AI, and LLMs with 5+ years building intelligent systems and scalable data infrastructure for AI-driven applications.

SK

Saadh Khan

AI Engineer — Investment Banking

8+ years experience

Seasoned AI and ML engineer with 8+ years of end-to-end project leadership across data engineering, model deployment, and production pipeline architecture.

CC

Chalsee Choudhary

Software Developer — PwC

5 years experience

Software developer at PwC, formerly a data scientist at Accenture, with deep expertise in bridging development and analytics workflows for enterprise data systems.

Hiring Partners

Our Alumni Work at Top Companies

World-class companies and fast-growing startups that hire our trained professionals for impactful roles across technology, finance, consulting, and cybersecurity.

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...and many more across tech, finance, consulting & cybersecurity

Career Support

Your Career Growth Roadmap

From profile optimization to offer — our structured 5-step career support ensures you land your dream data engineering role.

1

Profile Power-Up

Resume, LinkedIn & GitHub optimization with personal branding that stands out to data engineering recruiters.

2

Skill Transformation

Real projects with production tools, industry-vetted curriculum, and hands-on practice across cloud and big data.

3

Interview Readiness

1:1 mock interviews with actual hiring managers, role-specific training, detailed feedback, and DSA prep.

4

Hiring Rounds

Access to 400+ hiring partners for technical interviews, direct referrals, and placement drives.

5

Offer Unlocked

High-paying job offers from top product companies as Data Engineer, Cloud Engineer, or Big Data Engineer.

Comparison

How Do We Compare?

See why aspiring data engineers choose Meritshot over other data engineering programs.

Batch Size

Others

150–200+

Meritshot

25–30

Specialisation

Others

None

Meritshot

Cloud, Gen AI, Agentic AI

Curriculum

Others

Generic & Outdated

Meritshot

Structured & Industry-Vetted

Career Support

Others

Limited

Meritshot

360° & Lifetime

1:1 Mentorship

Others

Not Available

Meritshot

Dedicated Mentor

Case Studies & Projects

Others

Few / None

Meritshot

15+ Real-World Projects

Payment Options

Others

Limited

Meritshot

Easy No-Cost EMIs

Pricing

Invest in Your Data Engineering Career

One program. One fee. Everything included — no hidden charges.

What You Get

Everything Included

250+ live sessions with data engineering experts
1:1 mentorship with senior data engineers
360° career support — resume, LinkedIn, mock interviews
Dual certification: Meritshot + Microsoft Azure
Daily weekday doubt-resolution sessions

7

Months Duration

500+

Hours of Content

30+

Industry Projects

95%

Placement Rate

Program Fee
1,59,999

+ GST · 0% EMI options available

7-day full refund guarantee · No hidden fees

FAQ's

Frequently Asked Questions

Have questions? We've got answers to help you get the most out of your learning journey.

Still have questions?

Our career advisors are here to help

Transform Your Career Today

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

Flexible Learning

Learn while working

Expert Mentors

Expert Mentors

Industry professionals

Certified Program

Certified Program

Microsoft accredited

100% Placement

100% Placement

Guaranteed assistance

Certificate Includes

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

4.8+

Average Rating

18,000+

Happy Students

5,000+

Certificates Issued

Free Counseling — No Commitment

Your Career
Transformation
Starts Here.

Join 18,000+ professionals who transformed their careers with Meritshot. Get a personalised program recommendation from our expert counselors.

Personalised Roadmap

Get a career plan tailored to your goals and experience level

Expert Mentorship

1-on-1 guidance from industry professionals at top firms

Guaranteed Placement

95% placement rate with 150+ hiring partners across India

67%

Avg Salary Hike

95%

Placement Rate

150+

Hiring Partners

Get Your Free Consultation

Fill in your details and we'll reach out within 24 hours.

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Student Testimonials

What Our Alumni Say About Meritshot

Real stories from professionals who transformed their careers through our programs.

Switched from IT to investment banking in under 8 months. The financial modeling modules and live lab sessions were absolute game-changers.

PS

Priya Sharma

Financial Analyst, Morgan Stanley

IT → IB Switch

The DCF and M&A case studies prepared me for every technical interview question. Now working on live advisory deals at Deloitte.

AM

Arjun Mehta

Financial Advisory, Deloitte

Deloitte Advisory

The pitchbook creation labs were exactly what I needed. I walked into my interview with real portfolio work that set me apart from every other candidate.

SN

Sneha Nair

Associate, Avendus

Avendus Associate

From knowing nothing about finance to building professional-grade models. The mentors were always available and the lab sessions made everything click.

KS

Karan Singh

Senior Analyst, HSBC

70% Salary Hike

The structured curriculum and real deal analysis gave me an edge that no MBA could have matched in the same timeframe. Best 9 months of my career.

AG

Ananya Gupta

Strategy Consultant, EY

EY Strategy

Switched from IT to investment banking in under 8 months. The financial modeling modules and live lab sessions were absolute game-changers.

PS

Priya Sharma

Financial Analyst, Morgan Stanley

IT → IB Switch

The DCF and M&A case studies prepared me for every technical interview question. Now working on live advisory deals at Deloitte.

AM

Arjun Mehta

Financial Advisory, Deloitte

Deloitte Advisory

The pitchbook creation labs were exactly what I needed. I walked into my interview with real portfolio work that set me apart from every other candidate.

SN

Sneha Nair

Associate, Avendus

Avendus Associate

From knowing nothing about finance to building professional-grade models. The mentors were always available and the lab sessions made everything click.

KS

Karan Singh

Senior Analyst, HSBC

70% Salary Hike

The structured curriculum and real deal analysis gave me an edge that no MBA could have matched in the same timeframe. Best 9 months of my career.

AG

Ananya Gupta

Strategy Consultant, EY

EY Strategy

Best investment I've made in my career. The blend of theory, modeling practice, and interview prep is unmatched by any other program in India.

VP

Vikram Patel

IB Analyst, Kotak Mahindra

Kotak IB Analyst

The program was incredibly rigorous and practical. The mentors have real IB experience, and the case studies are from actual deals. I cracked Goldman Sachs in 6 months.

AR

Aisha Rao

IB Analyst, Goldman Sachs

Goldman Sachs Analyst

Meritshot completely transformed my career. The 1:1 mentorship and real-world projects gave me the confidence to crack Amazon's interview.

RM

Rohit Malhotra

Full Stack Developer, Amazon

85% Salary Hike

The Data Science program covered everything from basics to Agentic AI. The hands-on projects and dataset quality was exceptional. Now working at Microsoft!

HA

Heena Arora

Data Scientist, Microsoft

Microsoft Data Scientist

Nothing compared to Meritshot. The small batch size meant I got personal attention, and the mock interviews were exactly like the real thing.

AS

Abhishek Singh

SDE, Flipkart

65% Salary Hike

Best investment I've made in my career. The blend of theory, modeling practice, and interview prep is unmatched by any other program in India.

VP

Vikram Patel

IB Analyst, Kotak Mahindra

Kotak IB Analyst

The program was incredibly rigorous and practical. The mentors have real IB experience, and the case studies are from actual deals. I cracked Goldman Sachs in 6 months.

AR

Aisha Rao

IB Analyst, Goldman Sachs

Goldman Sachs Analyst

Meritshot completely transformed my career. The 1:1 mentorship and real-world projects gave me the confidence to crack Amazon's interview.

RM

Rohit Malhotra

Full Stack Developer, Amazon

85% Salary Hike

The Data Science program covered everything from basics to Agentic AI. The hands-on projects and dataset quality was exceptional. Now working at Microsoft!

HA

Heena Arora

Data Scientist, Microsoft

Microsoft Data Scientist

Nothing compared to Meritshot. The small batch size meant I got personal attention, and the mock interviews were exactly like the real thing.

AS

Abhishek Singh

SDE, Flipkart

65% Salary Hike

0+

Alumni Placed

0%

Placement Rate

0+

Hiring Partners

0%

Avg. Salary Hike