Skip to content
Live · Sat, 5th Sep 2026 · 11:00 AM IST 📞 +91 70914 64529 WhatsApp
Anthropic
Microsoft Authorized Training Partner
Upcoming Live Masterclass · Free

Become a Data Engineer

A free, live 60-minute masterclass with 360 Digital Transformation on the Data Engineer role — what you actually build day to day, why Microsoft Fabric changed the job, and how to get from where you are to your first data engineering role with DP-900 and DP-700 behind you. Real building, real Q&A, no recycled slides.

  • Live with Siddharth Sharma, Microsoft Certified Trainer since 2016
  • A real Fabric pipeline built live — raw file to gold layer, not a sales pitch
  • Open Q&A with an Anthropic & Microsoft authorized instructor
00Days
:
00Hours
:
00Mins
:
00Secs
Siddharth Sharma
Siddharth SharmaMicrosoft Certified Trainer · Cloud & Data Architect

📅 Sat, 5th Sep 2026 🕒 11:00 AM IST 60 Minutes 💻 Online · Live
Chat on WhatsApp
Google 4.8 Trustpilot 4.6 Sitejabber 4.6

Limited seats per session · Recording goes to every registered attendee

100% Free

Reserve Your Free Seat

Data Engineer · Live Masterclass · Sat, 5th Sep 2026

🔒 OTP-verified · No card needed · Joining link by email

Authorized byAnthropicMicrosoftGoogle

Inside our live sessions — real classrooms, real learners

Session Agenda

What you'll learn in 60 minutes

Six things you will walk out understanding — each one shown live, not read off a slide.

What a Data Engineer actually builds

Pipelines, lakehouses and the medallion architecture — the work behind every dashboard and every AI model the business relies on.

Why Microsoft Fabric changed the job

OneLake, Lakehouse, Warehouse and Data Factory in one platform — and what that means for the tools you no longer need to learn.

A real Fabric pipeline, built live

Raw file → bronze → silver → gold in front of you, the same way learners ship it inside the full programme.

DP-900 and DP-700, decoded

What each certification proves to an employer, the order to take them, and how the programme prepares you for both.

Claude for Data Engineering

Using AI to write, test and document pipeline code — the productivity edge employers now expect on the CV.

Salary reality and the path in

₹6–12 LPA entry roles are open right now. See exactly what separates you from qualifying, then ask the instructor anything.

Chat on WhatsApp

Free · Live on Sat, 5th Sep 2026 at 11:00 AM IST · Recording sent to registered attendees

Meet Your Speaker

The session is run by a Microsoft Certified Trainer, not a sales team

You're not getting a recorded deck read out by a coordinator. You're getting 60 minutes with someone who builds and teaches this stack for a living.

Siddharth Sharma

Senior Consultant & Corporate Trainer · Cloud & Data Solutions Architect

📍 Singapore · Microsoft Certified Trainer since February 2016

Over a decade building and teaching the modern data stack. His day job is Microsoft Fabric data engineering, Azure Machine Learning and multi-cloud architecture across AWS, Azure and GCP — pipelines, lakehouses and DevOps workflows for enterprise teams, turned into training people can actually follow.

He has held Microsoft Certified Trainer status since 2016 — one of the longest-running MCT credentials on our faculty. In this webinar he builds a Fabric pipeline live, end to end, and answers whatever you ask.

Microsoft Certified Trainer (MCT) · 2016 Data Engineering with Azure AWS Solutions Architect Associate Microsoft Professional · Data Science Microsoft Professional · DevOps Azure Machine Learning
10+ yrsIndustry experience
2016MCT since
View LinkedIn
Microsoft
Certified Trainer
Anthropic
Authorized Instructor
AWS
Certified Architect
Siddharth Sharma — Microsoft Certified Trainer and Data Engineering instructor
Your Instructor
Live in this session

He builds a Fabric pipeline end to end — bronze, silver, gold — then answers whatever you ask.

Trained & consulted for teams at

JPMorgan Chase
Deutsche Bank
Confluent
Asian Development Bank

Company names and marks identify organisations whose teams have taken training or consulting delivered through 360 Digital Transformation. They do not imply affiliation with, endorsement by, or partnership with 360 Digital Transformation.

Already In Production

The data platforms you'll learn to build, running at this scale

Microsoft Fabric, OneLake, medallion layers and real-time streaming aren't classroom theory — they're live production platforms at global brands, built by data engineers doing exactly what this program trains you for. Tap a card to see what each one built.

Swiggy

India · Food delivery

Real-time delivery intelligence at national scale

Tap to flip ↻

What they built

Fabric Real-Time Intelligence streams live delivery data while Azure OpenAI chatbots handle logistics and customer support — millions of orders a day, decisions made in seconds instead of overnight batches.

Fabric Real-TimeStreaming Pipelines
↺ Tap to close

Microsoft IDEAS

Global · Internal data team

One of the largest data teams on earth

Tap to flip ↻

What they built

Microsoft's own internal data organisation — one of the largest anywhere — runs its entire analytics estate on Fabric and OneLake. The company that builds the platform ships on it.

Microsoft FabricOneLake
↺ Tap to close

Dentsu

Global · Advertising & media

Global reporting rebuilt on one data layer

Tap to flip ↻

What they built

Dentsu consolidated global reporting onto Microsoft Fabric with centralised gold-layer datasets, cutting data replication time by 55% across its markets.

Microsoft FabricMedallion Layers
↺ Tap to close

Tata Realty

India · Real estate

Enterprise analytics, fully modernised

Tap to flip ↻

What they built

Tata Realty and Infrastructure moved its enterprise analytics onto Microsoft Fabric, pulling scattered operational data into one governed, AI-ready platform.

Microsoft FabricGoverned Lakehouse
↺ Tap to close

Examples drawn from publicly published Microsoft customer stories. Company names and marks are used only to identify the deployments described and do not imply any affiliation with, endorsement by, or partnership with 360 Digital Transformation.

Demand vs Supply

Why Data Engineers get paid what they do

Every AI project, every dashboard, every model sits on a pipeline someone had to build. India is not producing those people fast enough — and that gap is the whole reason this role pays what it does.

2,30,000+Data professionals India is short of by 2026 (NASSCOM / industry estimates)
$175BGlobal data engineering market by 2030, up from $29B in 2023 — a ~6× expansion
55–60%Deficit in cloud-native engineering talent reported by India's GCCs
40–60%More than data analysts earn at the same experience level — pipelines are harder to staff than dashboards

The gap that isn't closing

Data engineering job postings vs job-ready engineers entering the market — India, indexed to 100 in 2022

260 215 170 125 80 THE HIRING GAP 2022 2023 2024 2025 2026 Indexed growth — directional, based on published hiring and talent-shortage reporting
Data engineering roles being hired for Job-ready data engineers available

Demand has more than doubled since 2022. Supply has moved barely 40%. That distance is not a shortage employers can wait out — it's the reason they pay a premium for anyone who can actually ship a pipeline.

The two salary markets nobody tells you about

Average annual CTC in India — IT services & consulting vs product companies, GCCs and unicorns

₹40L ₹30L ₹20L ₹10L ₹0 ₹6L ₹10.5L ₹11.5L ₹21L ₹20L ₹35L Entry · 0–2 yrs Mid · 3–5 yrs Senior · 6+ yrs Midpoints of published India bands — Glassdoor, PayScale and 2026 salary guides
IT services & consulting Product companies, GCCs & unicorns

Product companies and GCCs pay 50–100% more for the same years of experience. A mid-level engineer there can out-earn a senior at a services firm. The jump isn't about waiting longer — it's about skill depth, and that's exactly what the program is built to give you.

Which skills the market is actually starving for

Hiring intensity vs available talent across the modern data stack — and what each one does to your offer

Skill
Employer demand
Talent supply
Pay uplift
Microsoft Fabric / OneLakeDP-700 · taught in this program
Very High
Very Scarce
Highest
Streaming & real-time (Kafka, Flink)Event pipelines at scale
Very High
Very Scarce
+40–50%
Spark & PySparkLarge-scale transformation
High
Scarce
Strong
Orchestration & dbt (Airflow, jobs)Modern data stack
High
Scarce
+20–35%
SQL & data modellingDP-900 foundation
High
Moderate
Baseline
Python for data engineeringIngestion, testing, automation
High
Moderate
Baseline
AI & Claude in the workflowSQL, debugging, documentation
Very High
Very Scarce
Rising Fast
Legacy ETL (Informatica, SSIS)What most candidates still lead with
Declining
Oversupplied
Discounted
Demand / scarcity: low → critical

Everyone applying for data roles has SQL on their CV. Almost nobody has Fabric, streaming and AI-assisted engineering — which is precisely the combination this program puts in your hands.

Where the money is

Typical data engineer salary ceiling by city, India — hybrid and remote roles are narrowing these gaps

Bengaluru
₹8–25L
Hyderabad
₹7–22L
Pune
₹6.5–21L
NCR / Gurugram
₹6.5–20L
Chennai
₹6–20L
Mumbai
₹6–19L

You don't have to relocate to earn well — but you do have to be hireable by the companies that pay these numbers. Certification plus a pipeline you can demo is what gets you into that pool.

Every AI project

Agents, RAG systems and dashboards all sit on top of pipelines someone has to build first. AI projects stall fast when the data layer is slow, messy or untrusted — which is why data engineering demand keeps rising even when other tech hiring wobbles.

DP-700 is still new

The Fabric Data Engineer Associate certification is recent, so the pool of engineers who can actually ship on Fabric is tiny next to the number of companies migrating onto it. Early movers get the pick of the roles.

5–7 months

The typical time a working professional — tester, support, BI, analyst — needs to switch into data engineering with structured training and real projects. Not a degree. Not two years.

Sources: NASSCOM and industry talent-shortage reporting, Glassdoor, PayScale and 2026 India salary guides, and published data engineering market forecasts. All figures are market ranges and directional indicators — not individual guarantees. City, employer type, skills and interview performance move individuals across these bands.

Success Stories

What past learners say

A genuinely useful 4-day Google Data Engineer course that played a huge role in clearing my certification on the first attempt.

Archana Bhalla

Archana Bhalla

Data Science & Big Data Engineer, Atos

Outstanding technical trainers with immense hands-on exposure to Big Data, and the patience to explain every question in detail.

Harish Agarwal

Harish Agarwal

Top Consulting Firm

One of the best trainings I've attended — in-depth Machine Learning knowledge with real financial industry use cases.

Ashish Kulshrestha

Ashish Kulshrestha

Managing Director, American Express

The 360 training team delivered great content and quality — we're already looking forward to our next engagement with them.

Mani Periawar

Mani Periawar

Senior Manager, Groupon

Simplified tough Google ML Bootcamp topics with concrete examples, making difficult material easy and fast to understand.

Ekawut Suwanicho

Ekawut Suwanicho

Data & ML Solution Engineer, Tangerine Co. Ltd.

Great working with 360 Digital Transformation on our e-Recruitment module, exploring real AI capabilities we could build on top.

Basant Kumar

Basant Kumar

CTO, SequelOne

Why Attend

60 minutes that could save you 2 years of guessing

This isn't a sales webinar dressed up as training. It's the fastest way to find out whether data engineering fits you — and exactly what's missing right now.

01

See exactly where you stand — no guesswork

₹6–12 LPA data engineering roles are open right now. You'll leave knowing precisely what separates you from qualifying for one.

02

Watch a real pipeline get built, live

Not a slide deck walkthrough — a working Fabric pipeline built in front of you, raw ingestion through bronze, silver and gold, the same way our learners ship it in the full program.

03

Get a straight answer from someone qualified

Ask an Anthropic and Microsoft authorized instructor anything — no chatbot, no "we'll follow up," no sales rep pretending to be technical.

Is This For You

Who should attend

No prior AI experience is assumed. If you recognise yourself below, the hour is worth it.

Analysts & SQL developers

You already query data every day and want to own the pipelines that produce it — with pay to match.

ETL & BI developers moving to Fabric

SSIS, Informatica or Power BI today; Fabric, Spark and Delta tomorrow — see what actually changes.

Cloud & IT professionals targeting DP-700

You want the Microsoft certification path laid out clearly before you commit study time.

Students & freshers targeting data roles

Learn what a hiring manager expects a first-year data engineer to demonstrate, before you apply.

Authorized Training & Certification Partners

Authorized Partner
Anthropic Microsoft

Trusted By Professionals At

Partner Partner Partner Partner Partner Partner Partner Confluent Deutsche Bank Asian Development Bank JPMorgan Chase Partner Partner Partner Partner Partner Partner Partner Confluent Deutsche Bank Asian Development Bank JPMorgan Chase

Featured In

Economic Times ANI News Google News Zee5 NDTV Featured Publication Economic Times ANI News Google News Zee5 NDTV Featured Publication Economic Times ANI News Google News Zee5 NDTV Featured Publication Economic Times ANI News Google News Zee5 NDTV Featured Publication
Real Reviews

Rated by thousands of real learners

Scores pulled directly from our public profiles on each platform.

0/5

Based on 1,000+ Google reviews

0/5

Verified Trustpilot rating

0/5

Verified Sitejabber rating

Program Highlights

What comes with the Data Engineer Program

🤝

Official Partner Status

Anthropic & Microsoft authorized — not a knockoff bootcamp

🎓

Triple Certification Track

DP-900 fundamentals, DP-700 Fabric Data Engineer, plus Claude for Data Engineering

⏱️

Every Session Live

Real instructors, real time — zero pre-recorded filler

🧑‍🏫

1:1 Mentor Access

A dedicated mentor who knows your name, not a chatbot

🏗️

Real Pipelines, Not Toy CSVs

Lakehouses, medallion layers and orchestrated jobs you can show an interviewer

🧠

Claude In Your Workflow

Use Claude for SQL, transformation logic, debugging and documentation

♾️

Lifetime Recording Access

Rewatch any session, anytime, for as long as you need

🔁

Never Miss a Concept

Skip a class? Re-attend the same module free, any batch

💼

Real Placement Support

Mock interviews, resume rewrites, LinkedIn overhauls

Verified Certificate 360 Digital Transformation Data Engineer Program certificate of completion
Your Certificate

Proof you can put on your CV the same day

Finish the program and you walk away with a shareable certificate of completion — plus a clear, prepared path to the Microsoft exams that hiring managers actually screen for.

  • 360 DT Certificate of Completion

    Issued in your name with a verifiable ID — post it straight to LinkedIn or attach it to an application.

  • Prepared for DP-900 & DP-700

    Azure Data Fundamentals and Fabric Data Engineer Associate — full exam prep, practice sets and doubt-clearing built into the program.

  • Claude for Data Engineering

    The AI-assisted engineering workflow almost nobody else on the shortlist will have.

  • A portfolio, not just paper

    A real lakehouse project with bronze, silver and gold layers you can open and walk an interviewer through.

39,000+Learners trained
30+Companies trust us
1,250+Courses delivered
4.5/5Average learner rating
Where This Webinar Leads

The Data Engineer Program

The session focuses on the data engineering track. We'll touch on Agentic AI as the natural next step — the pipelines you build here are what those systems run on.

Data Engineer Program
This Webinar's Focus

Data Engineer Program

From SQL and data fundamentals to production lakehouses on Microsoft Fabric. Prep for DP-900 and DP-700, plus Claude for Data Engineering.

View Program
Agentic AI Developer Program
The Next Step Up

Agentic AI Developer Program

Where data engineers go next — building autonomous, multi-agent AI systems on top of the data platforms you already know how to ship.

View Program
Program Creators

Learn from mentors who build this for a living

Anthropic and Microsoft authorized trainers run this program live. Hover any card for their full background.

Siddharth Sharma

Siddharth Sharma

Certified Trainer · Your Speaker

Microsoft Certified Trainer since 2016, specializing in Microsoft Fabric, Azure data engineering and modern cloud platforms.

★★★★★ 4.8/5

More about Siddharth

Singapore-based Senior Consultant & Corporate Trainer. 10+ years across Microsoft Fabric, Azure Data Engineering, Azure ML, DevOps and multi-cloud (AWS, Azure, GCP). AWS Solutions Architect Associate.

LinkedIn ↗
Vikas Mittal

Vikas Mittal

Certified Trainer

Google Authorized Instructor and Anthropic Authorized Instructor with a focus on production ready AI training.

★★★★★ 5.0/5

More about Vikas

25+ years across Google, Microsoft, and emerging AI technologies.

Bipeen

Bipeen

Certified Trainer

AWS Authorized Trainer, Microsoft Certified Trainer and Anthropic Certified Trainer specializing in cloud AI.

★★★★★ 4.8/5

More about Bipeen

25+ years, renowned global corporate trainer and conference speaker.

Shruti Sinha

Shruti Sinha

Certified Trainer

AWS Authorized Trainer, Microsoft Certified Trainer and Anthropic Certified Trainer leading enterprise AI teams.

★★★★★ 4.8/5

More about Shruti

20+ years aligning advanced technology with real business growth.

Sravia

Sravia

Certified Trainer

NVIDIA Authorized Instructor with deep expertise in applied machine learning and cloud native AI systems.

★★★★★ 4.7/5

More about Sravia

10+ years, expert in ML, MLOps and enterprise training.

Dipan G.

Dipan G.

Certified Trainer

Anthropic Authorized Instructor with twenty years of experience across AI, cloud platforms and enterprise training.

★★★★★ 4.8/5

More about Dipan

Known for simplifying complex concepts into practical, hands-on learning.

Florian Garcia Compte

Florian Garcia Compte

Certified Trainer

Cisco Certified Systems Instructor (CCSI) specializing in Data Center, Nexus and Wireless.

★★★★★ 4.8/5

More about Florian

Partner Director at a Cisco Learning Partner in Madrid, delivering official CCNA, CCNP Enterprise and CCNP Data Center courses.

Akim Nyamande

Akim Nyamande

Certified Trainer

Microsoft, CompTIA, Juniper and Cisco Certified Trainer specializing in networking and cybersecurity fundamentals.

★★★★★ 4.8/5

More about Akim

5+ years as an IT training facilitator, previously a Network Administrator before moving into technical training.

Johan

Johan

Certified Trainer

D365 Customer Service Lead, Power Platform School Founder

★★★★★ 4.8/5

More about Johan

D365 Customer Service Lead – Europe at Avanade, and founder of the Power Platform School. A Microsoft Business Applications MVP and Microsoft Certified Trainer based in London, specializing in Dynamics 365 Customer Service and Power Platform.

LinkedIn ↗
Ali El Khatib

Ali El Khatib

Certified Trainer

Cisco Certified Systems Instructor (CCSI), Microsoft Certified Trainer

★★★★★ 4.8/5

More about Ali

Cisco Instructor and Microsoft Trainer, Infrastructure Engineer at RHUH. 13 years of training experience, holds CCSI, MCSE, CCNP R&S, CCNP Security, CompTIA, and Microsoft 365 certifications.

LinkedIn ↗
Shantanu Pandey

Shantanu Pandey

Certified Trainer

Microsoft, Google, NVIDIA and HPE Certified Trainer

★★★★★ 4.8/5

More about Shantanu

Director of Engineering at Meteoros Automation, HPE Partner. Microsoft Top 100 Trainer 2025, holds MCT, Google Cloud Authorized Trainer, NVIDIA Certified Instructor, and PeopleCert credentials, specializing in AI/ML and Cloud Architecture with 500+ trainings delivered.

LinkedIn ↗
Arshad Ahmad

Arshad Ahmad

Certified Trainer

Microsoft Certified Trainer (MCT), Cybersecurity & Power Platform Expert

★★★★★ 4.7/5

More about Arshad

15 years in Cybersecurity, Dynamics 365, Power Platform, and Advanced Excel/Power BI. Holds MCT, Azure Solutions Architect Expert, Cybersecurity Architect Expert, and AWS SysOps credentials, with 200+ trainings delivered.

LinkedIn ↗
FAQ

Frequently asked questions

What does a Data Engineer actually do?

A data engineer builds the plumbing everything else runs on — ingesting raw data from source systems, modelling and transforming it through bronze, silver and gold layers, orchestrating the jobs that keep it fresh, and making sure analysts, dashboards and AI systems get clean data they can trust. It's software engineering applied to data, not report writing.

Who is running this session?

Siddharth Sharma — a Singapore-based Senior Consultant and Corporate Trainer who has held Microsoft Certified Trainer status since 2016. He works across Microsoft Fabric data engineering, Azure Machine Learning, DevOps and multi-cloud architecture (AWS, Azure, GCP), and holds the AWS Solutions Architect Associate credential alongside Microsoft's data engineering, data science and DevOps professional certifications.

What are DP-900 and DP-700?

DP-900 is Microsoft's Azure Data Fundamentals certification — core data concepts, relational and non-relational stores, analytics workloads. DP-700 is the Fabric Data Engineer Associate certification, covering how you actually implement data engineering solutions in Microsoft Fabric. The program preps you for both, plus using Claude in a real data engineering workflow.

Do I get a certificate?

The full Data Engineer Program ends with a 360 Digital Transformation certificate of completion issued in your name with a verifiable ID, ready to share on LinkedIn. It sits alongside your Microsoft DP-900 and DP-700 exam prep — the certificate shows you did the work, the Microsoft certifications are what recruiters screen for, and the lakehouse project you build is what gets you through the interview.

Is this webinar really free?

Yes — completely free, no card required. Reserve your seat with your name, phone and email and we'll send you the joining link.

Do I need SQL or Python experience already?

Not for the webinar. The session is built for both complete beginners and working professionals — analysts, testers, support and BI folks — exploring a move into data engineering. Basic SQL helps in the full program, and we cover it from the ground up.

Will I get a recording if I can't attend live?

Yes, everyone who registers gets the recording, whether or not you attend live.

Is this a sales pitch in disguise?

The session itself is genuine, hands-on teaching. We'll mention our programs at the end for anyone who wants to go further — no pressure either way.

What's the difference between this webinar and the paid program?

The webinar is a single 60-minute session to show you what data engineering actually looks like. The Data Engineer Program is live training, mentor support, real pipeline projects and certification prep for DP-900 and DP-700 — this is a taste, not a shortcut around it.

How is this different from the AI Engineer webinar?

This session is about the data layer — pipelines, lakehouses, modelling and governance. The AI Engineer session is about the systems built on top of it: agents, RAG and evaluation. Plenty of people do this one first, because AI projects stall without the data platform underneath.

Do I need to install anything to join?

No installs needed to attend — just a stable internet connection and the joining link we email you. If you want to follow along hands-on, we'll share simple setup steps in advance.

Is my payment or card information needed to register?

No. Registration only needs your name, phone and email so we can send you the joining link and reminders — no payment details are ever requested for the webinar itself.

Will there be job or placement support after the program?

Yes — mock interviews, resume and LinkedIn support, and introductions to hiring partners are part of the full program. Final hiring decisions always depend on your interview performance and the employer's needs.

What if I don't understand some of the technical parts?

That's exactly what the live Q&A is for. The instructor will pause to explain anything that isn't landing — this session is built to meet you at whatever level you're starting from.

Seats are limited for Sat, 5th Sep 2026

Reserve your free seat for the Data Engineer session in under a minute.

Chat on WhatsApp
Data Engineer · Free Live Webinar
Sat, 5th Sep 2026 · 11:00 AM IST · Free & Live
Chat on WhatsApp

Webinar Registration

TopicData Engineer — Free Live Webinar
SpeakerSiddharth Sharma · Microsoft Certified Trainer
DescriptionThe Microsoft Fabric data engineer path — a live pipeline from raw file to gold layer, DP-900 and DP-700 decoded, and what the role pays in India.
TimeSat, 5th Sep 2026 · 11:00 AM IST

* Required information

By registering, I agree to the Privacy Statement and Terms of Service.

Didn't get a code? Resend

You're registered!

Your seat is confirmed. The confirmation and joining link are on their way to your inbox.

Webinar: Data Engineer — Free Live Webinar
Speaker: Siddharth Sharma · Microsoft Certified Trainer
Date: Sat, 5th Sep 2026
Time: 11:00 AM IST
Join link: Emailed to you after registration

Can't make it live? The recording goes to the same email address. Questions before then — WhatsApp us on +91 70914 64529.

Back to top