Azure Data Engineer Course in Pune with 100% Placement Assistance
Learn AI assisted Azure Data Engineer training with Microsoft Fabric through Industry-based, job-oriented, hands-on interactive AI training with real-time projects and AI tools. Learn from working IT professionals with 16+ years of experience.
No-cost EMI available
AI Enhanced Microsoft Azure Data Engineer Course in Pune with 100% Placement Assistance & Advanced AI Skills (2026–2027)
Are you searching for an Azure Data Engineer Training institute or AI enhanced Microsoft Azure And Fabric Data Engineer Training , particularly a “near me” classroom? Then look no further than Technogeeks Software Training Institute (AI Academy) !
Technogeeks’ Azure Data Engineer Certification Course with Microsoft Fabric and AI Bootcamp is designed to help IT professionals, beginners and data engineers gain experience in designing, building, and managing AI driven data solutions using Microsoft Azure services and Microsoft Fabric.
This Azure Data Engineer training in Pune will teach you data engineering concepts like how to collect, store, transform, clean, and load data with help of AI enabled cloud technologies .
You get hands-on experience with Azure services like Azure Data Storage, Data Factory, Microsoft Fabric , Azure Synapse Analytics, Data Warehousing concepts, AI powered analytics, How to Optimize Data Queries in Azure, Azure Databricks, and many more.
Experienced industry professionals designed this data engineering and ai course curriculum to ensure that it covered the most current and in-demand topics. This means that you will receive training on the latest AI trends and industry-based requirements.
At Technogeeks - AI Coaching Center , the Azure Data Engineer Course not only increases your knowledge in data engineering but also keeps you up-to-date with the latest industry developments, AI solutions, Microsoft Fabric technologies, AI tools and trends
After you finish the DP-700: Microsoft Fabric Data Engineer Associate Course along with AI automation , you will go through mock interviews and work on your CV to be ready for real interviews.
Course Curriculum
- Introduction to Cloud Computing
- Intro to Data Engineering, Certification & Job Openings
- Cloud Models
- Deployment Model: Public, Private, Hybrid
- Service Models: IaaS, PaaS, SaaS
- Cloud Vendors
- Introduction to Microsoft Azure Services
- Azure pricing & analysis
- Python installation
- Colab setup
- Variables
- Data types
- Input/Output
- Operators
- Coding Conventions
- If/else
- Loops
- Nested loops
- Functions
- Parameters
- Return values
- Reusable logic
- Basic debugging
- Lists
- Tuples
- Dictionaries
- Sets
- Slicing
- Iteration
- Comprehension basics
- Choosing the right structure
- Reading and writing text files
- CSV files
- JSON files
- Path handling
- File validation
- Basic encoding awareness
- Try/Except/Finally
- Common runtime errors
- Logging concepts
- Meaningful messages
- Modular scripts
- Introduction to pandas
- DataFrames
- Filtering
- Selecting columns
- Joins/merge basics
- Groupby
- Exporting data
- Requests library
- REST API concepts
- JSON response handling
- Environment variables
- Overview of database connectivity
- Introduction to Azure Portal
- Creating of Azure Account
- Provision of Owner and Contributor Access
- Understanding Various Cost Metrics
- Management levels and hierarchy
- Introduction to Azure Storage Services
- Data Redundancy Concepts & Cost Impacts
- Create Azure Storage Account
- Analyse Blob vs ADLS Gen2 Connections
- Integration with External Application - Power BI
- Understanding SAS token vs Access keys
- External Tables
- OPENROWSET
- Dedicated SQL Pool
- External Tables With Parquet
- Loading data into SQL pool using polybase
- Loading Data into table using COPY command
- Designing Data Warehouse
- Facts and Dimensions
- Transfer data into SQL Pool
- Hash Distributed tables
- Partitioning in Synapse
- Switching Partitions and CASE
- Spark Pool introduction
- Dynamic Data Masking
- Row Level Security
- Column Level Security
- Create Spark Pool
- Dataframes: Definition & Creation
- Query File using Spark Pool & Display records
- Writing dataframes to ADLS Gen2
- Reading Synapse Tables using Spark notebooks
- Architecture & Use Cases
- Provisioning of Azure Data Factory
- Different Panes in Azure Data Factory
- Data Integration Units & Pricing Model
- Key Components in ADF: Pipelines/Datasets/Activities/Linked Services/Triggers
- Concept of ARM Templates
- Integration Runtimes
- Introduction to Azure Key Vault
- Connection to On-premise File System
- Copy Activity
- Parameterization: Global & Local
- Data Movement-1: On-prem to ADLS
- Running Modes: Debug vs Triggered
- Monitoring Data Pipelines
- Data Movement-2: Between Storage Accounts
- Data Loading: Data Lake to Synapse dedicated pools
- Dynamic Pipelines execution using Switch Statement
- Mapping DF 1: Filter / derived Column / Join / Aggregate
- Mapping DF 2: Conditional Split (Case/Union/Sort/Branch)
- Mapping DF 3: Processing JSON via Flatten
- Mapping DF 4: Validate Schema/Schema Drift/Drift Column Type
- Passing Parameters from Pipeline to DF
- Wrangling DF 1: Data Movement/Joins (Merge)
- Wrangling DF 2: Group By/Rename/Remove Columns
- Pipeline Script Activity
- Web Activity
- CI/CD in ADF
- Change Data Capture
- Spark Framework & Versions Architecture of Spark
- Resource Manager / Driver / Worker / Executor
- Lifecycle of Spark Application
- Spark Context vs Session
- Jobs / Stage / Tasks
- Lazy Evaluation / Transformations / Actions
- Wide and Narrow transformation
- RDD / DataFrame / Datasets
- Azure Synapse - Spark Pool
- Spark Pool - Scala Notebook
- Loading, grouping data to spark pool
- Delta table - spark pool
- Shared table - spark pool
- Creating Databricks Workspace
- Creating cluster
- Data loading from file
- GROUP BY, Date Functions
- JSON Data
- Copy INTO
- Stream operations
- Table versioning
- Performing transformation on streaming data using Kafka
- Performing transformation on streaming data using Event Bus
- Writing data into dedicated pool
- Creating Data warehouse
- Ingesting data via TSQL and pipeline
- Ingesting data via Dataflow Gen-2, creating source, creating workflow and building dimensions
- Semantic Models - Creating New Workspaces, transferring data onto the warehouses
- Slowly Changing Dimensions
- Creation
- Data Ingestion
- Delta Lake
- Data Ingestion through pipeline
- Use cases with Azure SQL, AWS S3
- Using Notebooks for queries
- Creation
- Data Ingestion
- KQL
- Event Streams
- Data Ingestion into Event Streams
- Transforming data
- Version Control
- Row Level Security
- Table Level Security
- Monitoring & Analysing Analytics Solution
- KQL Best Practices
The Medallion Architecture organizes data into Bronze, Silver, and Gold layers to progressively enhance data quality and analytics readiness.
- In this project, data is extracted from Azure SQL Database and landed as raw files in Azure Storage (Bronze Layer) via Azure Data Factory, ensuring scalable ingestion.
- Databricks then processes and transforms this raw data into Delta format, producing cleansed and structured datasets in the Silver Layer.
- Finally, Azure Synapse Analytics consumes the refined data for analysis, reporting, and insights.
- The entire pipeline is fully orchestrated using ADF, which integrates Databricks and Synapse notebooks for seamless automation.
- This design demonstrates a modern, scalable, and cloud‑native data engineering solution using Azure’s ecosystem.
- End to End Project Architecture Discussion
- Feedback
- Open Discussion
- Assignments for students
Our trainers are experts in their fields. They simplify complex concepts for the students and make them easy to understand. They solve each and every type of student's query. Their teaching method is more focused on real-time examples, preparing the students for industry interviews. Students will have one-on-one coaching sessions with them so that they will be able to ask questions at any time.
Key Highlights of Our Trainers:
- Certified Professionals with Over 15+ Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Demonstrated Strong Theoretical and Practical Expertise in Their Respective Domains
- Possess Expert-Level Subject Knowledge and Stay Current with Real-World Industry Applications
Why Choose Technogeeks?
Everything you need to launch your career in tech
Tools & Technologies You'll Master
23+ industry-standard tools covered in this program
Book Your Seat Today!
Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
Frequently Asked Questions
Azure Data Engineer is one of the most trending and fastest-growing technologies on the market today because of the tremendous growth of Microsoft Azure Cloud technology.
The Data Engineer course will teach you how to use all Azure services, such as Azure Data Factory, Azure Synapse Analytics, how to host websites in Azure, SQL Database and many more.
This course curriculum is designed in such a way that it will help you clear the official Microsoft Azure Data Engineering Exam (DP-203).
Organizations should now store large amounts of data in the cloud, and they need to be on the lookout for qualified employees to manage this data in a useful manner. Appropriately, becoming a professional data engineer will never disappoint you.
Technogeeks is the best place to learn Azure Data Engineer. Want to become an Azure Data Engineer? Enroll now and begin your cloud computing journey as an Azure Data Engineer.
- Must be proficient in using an RDBMS such as Oracle and SQL
- Data warehousing solutions
- Knowledge of basic statistics
- Familiarity with UNIX command line and scripting
- Good Programming skills for analyzing and manipulating data (Python,Java)
- Good communication skills
- Excellent problem-solving skills and the ability to work in a team environment
- Learning Mode: Live Interactive Online training, Classroom training in Pune
- Training hrs: 35 hrs of training
- Assignments Duration: 25 hrs of Assignments
- Projects: 1 Real-time Projects
- Modules: 11
- Certificate: Course Completion Certificate with unique verification ID
- Mentor Support: 1:1 Mentorship
- Resources: Classroom Recordings, Notes, Assignments, Projects, Interview FAQs
- Mock Interviews
- Job Assistance: Telegram channel for placement Assistance: https://t.me/technogeekssolutions
- Reviews: 1700+ reviews on Google by students with a 4.8 average rating
In the Azure Data Engineer Course, you'll learn following tools
- Azure Synapse Analytics
- Azure Databricks
- Azure Data Storage
- Azure Data Factory
- Azure Cosmos DB
- ETL
As mentioned earlier, course curriculums designed by working professionals that can help you land top jobs in MNCs. Additionaly, you will work on real time projects and daily assignments as per industry based requirements which can help you fast-track your career.
Once your projects are reviewed by your instructor and you complete your mock interviews, Technogeeks will award you a Course Completion Certificate.
You can talk to our career counselor for any doubts or queries.
Suppose you have doubts about your background or skill set before choosing the course. Let us know, and we will help you clarify any questions.
Please don't hesitate to contact us for any course-related assistance.
Like our other IT training courses , the data engineer course is taught through Google Classroom so that you can take it in a classroom in Pune as well as in an online mode.
Yes, we provide 100% placement assistance. Technogeeks has helped many working professionals and freshers start their careers from scratch and transform their dream job into reality.
You can check our official telegram channel for the job openings provided by us.
The field of Data Engineering has a bright future. As organizations generate and collect more data, there is an increasing demand for systems and infrastructure to manage and analyze this data. So ultimately, demand for Data Engineers increases, who are responsible for designing and building the systems that enable organizations to use data effectively. As a result, there are numerous opportunities for career growth and advancement in this data engineering field.
As per Ambition Box, the salary range for Data Engineers in India is between ₹3.6 Lakhs to ₹22.0 Lakhs, with an average annual salary of ₹8.5 Lakhs. These salary evaluations are based on the latest salaries received from 17.4k Data Engineers.
You can watch a recorded demo session before you enroll. The recorded session will be a mix of theoretical concepts & hands-on practice. You can examine how the instructor teaches and the overall online and classroom learning environment.
We provide live interactive training recordings for students who miss classes. It allows students to catch up on missed material and stay up-to-date with the course. However, it is important to note that lecture recordings should not be considered a substitute for attending classes. There is often a lot of value in participating in class discussions and asking questions in person.
The Azure Data Engineer is in charge of developing, deploying, and maintaining Microsoft BI solutions to fulfill market and / or customer demands. They serve customers, projects or entities by applying their understanding of technologies, applications, techniques, procedures and tools.
Payscale.com reports:
- A Fresher's annual average pay is INR 3,45,000.
- A professional with 3 to 4 years of experience earns up to INR 6,603,240.00 per year.
- A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.
Yes!
It's critical to understand the prerequisites for being a competent Azure Data Engineer.
All types of data engineers have the same set of fundamental abilities like database administration, coding and programming.
No.
Given the vast variety of ideas, different styles of questions and the unpredictability of the test, the Azure data engineer certification is one of the most challenging certifications to pass. A solid foundation in data engineering might assist you in obtaining the certification.
Yes.
Azure Data Engineers should be well-versed in programming languages like as Python, SQL and Scala. They should be able to create and maintain data pipelines, data lakes, and data warehouses using these languages.
Yes
Azure Data Engineer is considered as one of the high paying jobs in India.
The salary of an Azure data Engineer depends upon several factors like projects and company. The average salary for an Azure Data Engineer is ₹7,62,048 in India.
Payscale.com reports:
- A Fresher's annual average pay is INR 3,45,000.
- A professional with 3 to 4 years of experience earns up to INR 6,603,240.00 per year.
- A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.
Yes.
Given the vast variety of ideas, different styles of questions and the unpredictability of the test, the Azure data engineer certification is one of the most challenging certifications to pass. A solid foundation in data engineering might assist you in obtaining the certification.
Yes.
It offers many certificates for learning some Azure abilities. According to Microsoft, about 365,000 companies start their account on Azure platform each year. This shows that Microsoft Azure Data Engineers are in high demand.
Payscale.com reports:
- A Fresher's annual average pay is INR 3,45,000.
- A professional with 3 to 4 years of experience earns up to INR 6,603,240.00 per year.
- A professional with 6-9 years of experience may expect to earn up to INR 16,508,100.00 per year on average.
It's difficult to tell which one certification is more challenging than the other. Because the level of difficulty is determined on the individual's past experience and familiarity with the platform. Both Azure and AWS certifications are considered to be tough and involve a large amount of study and hands on experience.
Yes. A non-IT person can learn Azure, but it will take a lot of effort. Microsoft Azure certificate is considered to be one of the toughest certifications. You don't need to be concerned if you have access to the correct learning resources.
- Begin by researching Azure's fundamental ideas.
- Second, begin implementing the principles in Azure Portal on your own. To study the principles, you may register a free trial account on Azure.
Here at Technogeeks, we offer the best Microsoft Azure Data Engineer course in Pune with proper skills building. We cover everything from the basics and test you based on real life industry projects.
Yes!
It's critical to understand the prerequisites for being a competent Azure Data Engineer.
All types of data engineers have the same set of fundamental abilities like database administration, coding and programming.
Azure data engineers should have a fundamental awareness of the development of the data landscape and its influence on data engineers. He should understand the fundamental distinction between cloud and on-premises data solutions. He should be quite familiar with Azure services.
Azure data engineers should have the following fundamental abilities.
- warehousing of data
- ETL software
- Database systems like NoSQL and SQL
- Learning by machine
- The programming languages Python, Scala, and Java
- Data APIs comprehend the fundamental notion of distributed systems
- solid understanding of data structures and algorithms
AWS experts earn a little bit more than Azure Engineers.
- AWS experts earn an average of 6.3 lakhs yearly
- whereas Azure professionals earn approximately 6.1 lakhs yearly.
AWS experts earn a little bit more than Azure Engineers.
- AWS experts earn an average of 6.3 lakhs yearly
- whereas Azure professionals earn approximately 6.1 lakhs yearly.
As A fresher, getting a job as an Azure Data Engineer can be challenging. But you can land a job if you follow the given steps.
- Gain the right skills: Learn the required skills from a seasoned professional.
- Add cloud computing certifications to your resume: certifications are very important for freshers, so choose the right ones.
- Take a training course like Technogeeks: Training courses have a proper curriculum with an updated syllabus. They can also help you with their placement assistance.
- Internships: Internships will help you gain the experience required for an Azure Data Engineer.
- Update your profile on job portals: This is one of the most important steps. This will help recruiters to take notice of you.
Technogeeks offers the best Microsoft Azure Data Engineer course in Pune with proper skills building. We cover everything from the basics and test you based on real-life industry projects.
AZ-305 Microsoft Certified: Azure Solutions Architect Expert
According to the Global Knowledge 2021 IT Skills and Salary Survey, Microsoft Certified: Azure Solutions Architect Expert is among the highest-paying qualifications. The Azure Solutions Architect Expert (AZ-305) certification is at the expert level.
Azure AI Engineers will be among the most sought-after Azure professionals in the coming years once they have acquired all of the necessary knowledge and abilities in machine learning and artificial intelligence. This is why Azure AI Engineers are eventually getting compensated well.
Technogeeks is one of the best place to learn the Azure Data Engineer Course in Pune. The course curriculum is designed by working professionals so the candidates get knowledge as per current market demand. After completing the course, you will go through multiple mock interviews, CV preparation, hands-on Projects and 100% Placement Assistance.
You can also check Google Reviews to see what our students are saying about our Azure Data Engineer Course.
Yes, data engineers are in high demand because many companies depend on data to make decisions.
Data engineering jobs are increasing fast and pay well because companies really want them. They manage and analyze big data, making them important for businesses.
To learn to be an Azure Data Engineer, it will take around 6-7 weeks. Also, it depends on study, regular practice, hands-on exercises etc.
It is not necessary to have knowledge of Python programming to learn Azure Data Engineering.
But a basic understanding of Python is beneficial because it is mainly used in handling data and writing scripts.
Both of the cloud offers many similar solutions related to Infrastructure , Platform and Software. So, we do not compare AWS or Azure Data Engineering because it depends on your project requirements, your familiarity with each platform (AWS or Azure), how much it costs, and the tools they offer.
No, Data Engineers and Azure Data Engineers are not the same. These two fields are different. Data Engineers are professionals mainly responsible for designing, constructing, and maintaining systems for managing and processing data.
On the other hand, Azure Data Engineers specifically use Microsoft Azure's tools in the cloud for these tasks.
- Continued adoption of cloud-based data solutions such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
- Increased focus on real-time data processing
- Advancements in big data technologies, like machine learning and AI integration
- Use of automation and AI for data pipeline management
If you are new to cloud computing or don't have any basic idea about cloud computing, still we can help you as Technogeeks Software Training Institute provides Microsoft Azure Training from scratch to an advanced level, making it easier for you to understand the concepts.
As we all know, Microsoft Azure is a cloud services based platform provided by Microsoft. It helps many companies, from startups to MNCs, to run their businesses more affordably by creating, deploying, and managing their tasks on cloud.
Microsoft Azure is one of the best cloud based solution, which helps organizations to grow in the market. Microsoft Azure uses data centers worldwide to create applications that users need, using APIs in their system. Also, they provide many services which are cost effective and flexible.
Over 500 Fortune companies have chosen Microsoft Azure because it helps them solve their problems effectively.
Yes, you can learn both AWS and Microsoft Azure. Both are cloud computing platforms, and many people learn both to expand their knowledge and career options. Because many companies are using hybrid cloud based solutions in which more than one cloud platform is used.
So the main difference between Microsoft Cloud and Microsoft Azure is that Microsoft Cloud includes different cloud services like Azure, Microsoft 365, Dynamics 365, and more.
On the other hand, Microsoft Azure gives you different types of services, like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Cloud Architect
- Cloud Engineer
- DevOps Engineer
- Solutions Architect
- Cloud Data Engineer
- Cloud Product Manager
Note: Salary depends on the Location, Company, Job Role, Experience and most importantly skills.
Microsoft Azure Certifications Like –
- Azure Administrator
- Azure Developer
- Azure Solutions Architect
AWS Certifications such as –
- AWS Certified Solutions Architect
- AWS Certified Developer
- AWS Certified SysOps Administrators
These certifications help you get a job in Azure or AWS.
Pune , oh, it's known as the "student's paradise" for some really good reasons. You see, this city has this amazing blend of rich educational opportunities and a vibrant, youthful culture.
First off, there are world-class universities and colleges in Pune. The place is like an educational hub.
You've got places like the University of Pune , which is a big name in itself, and then there's the Film and Television Institute of India (FTII), which is renowned globally for cinema and television education.
Some of the most visited attractions in Pune are:
- Sinhagad Fort
- Shaniwar Wada
- BAPS Swaminarayan Temple
- Aga Khan Palace
- Saras Bag
- Pashan Lake
- Khadakwasla Dam
With a student-friendly environment, it's no wonder they call it a "student's paradise."
Students from all over the country flock to Pune to enroll in various programs. And it's not just about the University of Pune; there are numerous other institutions that provide a wide range of courses, like Technogeeks .
The legacy of education in Pune is truly rich, and that's why students come here for a promising future.
But Pune isn't just about academics. Making it a hotspot for professionals, the city offers excellent job opportunities.
It's considered the second-largest IT hub in India, so tech enthusiasts find their haven here.
And let's not forget the weather. Pune boasts a lovely climate throughout the year, which is quite a relief compared to some other cities with extreme temperatures.
Data Engineering along with AI is basically one process in which data gets collected , processed, and organized by modern AI-powered tools and technologies. By which companies can manage large amounts of data faster and smarter for analytics, automation, and AI applications. At Technogeeks AI training institute , we learn Data Engineering with AI through real-time projects, cloud technologies, big data tools, automation, and industry-oriented training with placement support.
Artificial Intelligence is changing data engineering , making data engineering faster , smarter, and more automated. The data engineers can easily collect , analyse lots of data with the help of AI powered tools. Also it takes less time and with more accuracy. In predictive analytics AI also helps. At Technogeeks , students learn modern AI-integrated Data Engineering skills in a practical way .
If you want to become an azure data engineer with AI skills , then you have to learn the basics of databases, SQL, Python, and cloud computing. then you have to start learning Microsoft Azure services like Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Storage, and Power BI.
Also you have to learn concepts like AI and machine learning. Because now many modern companies are using AI powered data pipelines, automation, predictive analytics, and smart data processing systems.
Important Skills to Learn
- SQL & Database Management
- Python Programming
- Azure Cloud Services
- Data Warehousing
- ETL & Data Pipelines
- Azure Data Factory
- Azure Synapse Analytics AI & Machine Learning
- Basics Big Data & Data Analytics
- Real-time Projects
At our Technogeeks IT training institute students learn AI integrated Azure Data Engineering training.
Salary Range in India
- Freshers (0–2 years) can earn ₹4 LPA – ₹8 LPA
- Mid-Level (3–5 years) can earn ₹10 LPA – ₹25 LPA
- Experienced Professionals (6+ years) can earn ₹25 LPA – ₹50+ LPA
These are salary ranges based on Glassdoor and AmbitionBox reports .and working professional who have knowledge of following :
- AI & Machine Learning
- Python
- Databricks
- Azure Synapse
- Snowflake
- Spark & Big Data
usually get better and higher salary packages . At Technogeeks,after completing a certified Microsoft Azure Data Engineer course you get placement support .
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Azure Data Engineer Course Certification Training locations in Pune :
Bajirao Road [411002], Yerwada [411006], Kasba Peth [411011], Dhanori [411015], Pune City [411022], Hadapsar S.O [411028], Airport [411032], Afmc [411040], Karve Road [410038], Ammunition Factory Khadki [411003], Aundh [411007], Dapodi [411012], Gokhalenagar [411016], Kudje [411023], Kothrud [411029], Mundhva [411036], Tingre Nagar [411000], A.R. Shala [411004], Baner Road [411004], Magarpatta City [411013], Botanical Garden [411020], Khadakwasla [411024], Lokmanyanagar [411030], Bibvewadi [411037], Bhavani Peth [411042], Dhayari [411041], Dhankawadi [411043], C D A O [411001], Shivajinagar [411005], Parvati [411009], 9 Drd [411014], Armament [411021], Donje [411025], Bopkhel [411031], Bhusari Colony [411038], Haveli [411045], Jambhulwadi [411046], Lohogaon [411047], Khondhwa [411048], Anandnagar [411051], Navsahyadri [411052], Chatursringi [411053], Gokhalenagar [411055], Warje [411058], Mohamadwadi Kadvasti [411060], Janaki Nagar [411066], Aundh [411067], Pimpri Chinchwad [411078], Nanded [411230], Gondhale Nagar [412029], Sathe Nagar [412047], Alandi Devachi [412105], Ambarvet [412115], Ashtapur [412207], Manjari Farm [412307], Phursungi [412308], Viman Nagar 411014, Shaniwar Peth [413337], Wakad [411057], Kothrud [411038], Shivaji Nagar [411005], FC Road [411004], Hadapsar [411028], Balewadi [411045], Baner [411045], Pimple Saudagar [411027], PCMC (Pimpri Chinchwad) [411018]
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