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Abhishek Agrawal Microsoft Azure trainer in Bangalore

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Abhishek Agrawal

Azure Data Engineer | Microsoft Certified | DP-203 | Azure Data Factory | Azure Databricks

Kaikondrahalli, Bangalore, India - 560035.

Verified Certified 138 Students

Contact
+917987502532
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Overview

I'm an Azure Data Engineer offering 4+ years of teaching experience and 8+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR.

Certification Course Offered by me:
1)DP-900, AZ-900, AZ-203,AZ-303, AZ-304
2)Databricks Certified Data Engineer Professional Exam
3)Databricks Certified Data Engineer Associate Exam


Courses offered by me:
1) Implementation of three end to end real time projects using Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Dedicated Pool, Azure Analysis Service and Power BI to understand Azure Data Engineering.
3) Implementation of two end to end real time projects using Azure Databricks to understand Big Data Processing using Spark.

Technologies in which I provide training are:
☁️ Cloud: Azure
☁️ Cloud Tools: Azure Data Factory, Azure Syanpse Analytics, Azure Databricks, Azure Data Lake, Azure Analysis Service, Azure DevOps, Azure Key Vault, Azure Active Directory.
💬Language: SQL, Python, PySpark, SparkSQL, R, SAS, Dash.
👨‍💻 Databases: SQL Server, Azure Syanpase, Azure SQL Database
⚙️ Data Integration/ETL: SAP HANA, Dyanmics 365, EPM Onyx, QAD
📊 BI/Visualization: PowerBI, Excel
🤖 Machine learning - Jupyter Notebook, Python, Pandas, Numpy, Statistics, Probablity.

I specialize in the following data solutions:
✔️ Builiding End to End ETL Pipeline Using Azure Cloud Tools.
✔️ Building data warehouses using modern cloud platforms and technologies.
✔️ Creating and automating data pipelines, & ETL processes
✔️ Building highly intuitive, interactive dashboards.
✔️ Data Cleaning, Processing, and Machine Learning models.
✔️ Data strategy advisory & technology selection/recommendation
...more

+1 more

Languages Spoken

Hindi Mother Tongue (Native)

English Proficient

Education

NIT Raipur 2016

Bachelor of Technology (B.Tech.)

Jigsaw Academy 2017

Data Science with SAS

Udemy 2018

MySQL for Data Analytics and Business Intelligence

Microsoft 2021

Microsoft Certified Azure Fundamentals

Udemy 2021

Mastering Databricks and Apache Spark

Address

Kaikondrahalli, Bangalore, India - 560035

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Teaches

Microsoft Azure Training

UrbanPro Certified Tutor

For Microsoft Azure Training

Class Location

Online (video chat via skype, google hangout etc)

Student's home

Tutor's Home

Years of Experience in Microsoft Azure Training

8

Azure Certification offered

Azure Certified Data Engineer

Teaching Experience in detail in Microsoft Azure Training

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Azure Data Factory Training

UrbanPro Certified Tutor

For Azure Data Factory Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Azure Data Factory Training

8

Teaching Experience in detail in Azure Data Factory Training

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Azure Databricks Courses

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Azure Databricks Courses

10

Teaching Experience in detail in Azure Databricks Courses

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Interview Skills Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Interview Skills Training

10

Snowflake Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Snowflake Training

9

Teaching Experience in detail in Snowflake Training

Introduction & Fundamentals 1) Snowflake Architecture & Concepts Key Concepts & Architecture Cloud Platforms Snowflake Editions Overview of Key Features Overview of the Ecosystem 2) SnowSQL & User Management SnowSQL (CLI Client) - Installation, Configuring, and Usage Lab – SnowSQL Lab & Exercises Roles and Users in Snowflake 3) Virtual Warehouses & Storage Creation of Virtual Warehouses Resource Monitors Management and Alerts Creation of Databases and Schema Table Privileges Cache Layer 4) Data Management & Recovery Time Travel & Fail Safe - Recovery Zero Copy Cloning in Snowflake 5) Data Staging in Snowflake Types of Stages (Internal & External) Overview of Data Loading/Unloading Bulk Data Loading/Unloading from Local File System 6) Data Loading & Querying Querying Data in Staged Files Bulk Data Loads Loading Semi-Structured Data (JSON, XML) 7) Cloud Integrations AWS Integration Process AWS to Snowflake Data Loading Loading Semi-Structured Data from On-Premises to Cloud Advanced Snowflake Concepts 8) Continuous Data Loading Snowpipe & Configuration Continuous Data Loading using Snowpipe 9)Snowflake & Snowpark Overview of Snowflake & Snowpark Differences Between Snowpark and Spark Reading Data from Multiple Sources (CSV, JSON, Parquet, Delta, Iceberg) 10) Advanced Data Processing Using Snowflake Tables as Data Sources Handling Large-Scale Data Ingestion Optimizing Queries with Pushdown in Snowpark 11) Data Processing Optimization Partitioning, Bucketing & Indexing in Spark Building Reusable ETL Pipelines Handling Slowly Changing Dimensions (SCD Type 1, 2, 3) 12) Scheduling & Performance Optimization Scheduling ETL Jobs using ADF or AWS glue Optimizing Performance for Large-Scale Data 13) UDFs and Procedures Analytical Functions User Defined Functions Procedures 14) Performance Tuning Query Tuning Clustering Micro Partitions Materialized Views DBT & Data Governance 15) Introduction to DBT DBT Overview Set up DBT Cloud Connecting DBT to Snowflake Data loading into the data warehouse 16) GitHub Integration & IDE Version Control Data repository setup & connect to DBT cloud Fundamentals of DBT cloud IDE Connecting Repository & Warehouse 17) DBT Materialization Understanding Materializations Model Dependencies Table Type Materialization Incremental & Ephemeral Materialization 18) DBT Sources & Seeds Understanding Seeds and Sources Source Configuration Source Freshness & Validations 19) DBT Testing & Snapshots DBT Testing Framework Snapshots & Incremental Strategies 20) DBT Macros & Hooks Creating & Using Macros Hooks & Exposures Setting up a BI Dashboard in Snowflake 21) Data Security & Compliance Column-Level and Row-Level Masking Policies Working With Dates and Time Stamps Date and Time Stamp Conversions Data Pipelines, Airflow & Real-Time Project 22) Data Orchestration Creating ELT Pipeline, Connecting ADF to Snowflake using ODBC, JDBC & REST API Orchestration with ADF or AWS Glue or Airflow 23) Airflow Architecture & Snowflake Integration Installing & Configuring Apache Airflow Running Airflow Locally using Docker Architecture & Core Components (DAGs, Tasks, Operators, Hooks, Sensors) Airflow Scheduler & Executor Types Installing Snowflake Provider Package Configuring Airflow Connections to Snowflake 24) DAGs & Task Dependencies Understanding DAG Structure & Task Dependencies Using Snowflake Operators & Hooks SnowflakeOperator for running SQL queries SnowflakeHook for executing queries dynamically PythonOperator with Snowflake for custom processing BranchOperator for conditional workflows 25) Build a fully automated Snowflake Data Pipeline using Airflow Using dbt with Airflow & Snowflake 26) Real-World Use Case – Project Overview Explanation of the Project Planning the Data Pipeline Architecture 27) Project Implementation – Part 1 Data Ingestion using ADF & Airflow 28) Project Implementation – Part 2 Query Optimization & Performance Tuning Setting up BI Dashboards 29) Testing & Debugging Testing Debugging ETL Pipelines 30) Final Review & Certification Recap of Key Topics and Project discussion

Courses

Documents (4)

Databricks

Azure Fundamentals

SQL Certificate

Data Science and Machine Learn...

Reviews (114)

4.9 out of 5 114 reviews

Abhishek Agrawal https://p.urbanpro.com/tv-prod/member/photo/6910000-small.jpeg Kaikondrahalli
4.905114
Abhishek Agrawal
S

Azure Data Engieering | Azure Data Factory | Azure Databricks

"Had a great experience learning from my Azure Data Engineer mentor. He explained tools like ADF, Databricks, and Delta Lake in a very clear, hands-on way. His guidance not only helped me build real-time projects but als... more

Abhishek Agrawal
V

Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks

"The hands-on labs were especially valuable — I got to build end-to-end data pipelines, automate workflows, and optimize large-scale data transformations using real-world healthcare datasets. The instructors were knowled... more

Abhishek Agrawal
S

Azure Data Engieering | Azure Data Factory | Azure Databricks

"The Azure Data Engineering with Databricks & Spark course is excellent! It provides in-depth coverage of Azure Data Factory, Synapse and Databricks with Spark making complex concepts easy to understand with hands-on pro... more

Abhishek Agrawal
K

"The Databricks course provides clear and easy-to-understand explanations, making it a great choice for both beginners and experienced learners. The concepts are well-structured, and the instructors break down complex to... more

Have you attended any class with Abhishek?

FAQs

1. Which classes do you teach?

I teach Azure Data Factory Training, Azure Databricks Courses, Interview Skills, Microsoft Azure Training and Snowflake Training Classes.

2. Do you provide a demo class?

Yes, I provide a free demo class.

3. How many years of experience do you have?

I have been teaching for 8 years.

Answers by Abhishek (2)

Answered on 17/09/2019

Salesforce
Answers 48 Comments
Dislike Bookmark

Answered on 17/09/2019

It dependsPower BI: Predictive Modelling and ReportingTableau: Data Visualization
Answers 62 Comments
Dislike Bookmark

Teaches

Microsoft Azure Training

UrbanPro Certified Tutor

For Microsoft Azure Training

Class Location

Online (video chat via skype, google hangout etc)

Student's home

Tutor's Home

Years of Experience in Microsoft Azure Training

8

Azure Certification offered

Azure Certified Data Engineer

Teaching Experience in detail in Microsoft Azure Training

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Azure Data Factory Training

UrbanPro Certified Tutor

For Azure Data Factory Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Azure Data Factory Training

8

Teaching Experience in detail in Azure Data Factory Training

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Azure Databricks Courses

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Azure Databricks Courses

10

Teaching Experience in detail in Azure Databricks Courses

I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.

Interview Skills Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Interview Skills Training

10

Snowflake Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Snowflake Training

9

Teaching Experience in detail in Snowflake Training

Introduction & Fundamentals 1) Snowflake Architecture & Concepts Key Concepts & Architecture Cloud Platforms Snowflake Editions Overview of Key Features Overview of the Ecosystem 2) SnowSQL & User Management SnowSQL (CLI Client) - Installation, Configuring, and Usage Lab – SnowSQL Lab & Exercises Roles and Users in Snowflake 3) Virtual Warehouses & Storage Creation of Virtual Warehouses Resource Monitors Management and Alerts Creation of Databases and Schema Table Privileges Cache Layer 4) Data Management & Recovery Time Travel & Fail Safe - Recovery Zero Copy Cloning in Snowflake 5) Data Staging in Snowflake Types of Stages (Internal & External) Overview of Data Loading/Unloading Bulk Data Loading/Unloading from Local File System 6) Data Loading & Querying Querying Data in Staged Files Bulk Data Loads Loading Semi-Structured Data (JSON, XML) 7) Cloud Integrations AWS Integration Process AWS to Snowflake Data Loading Loading Semi-Structured Data from On-Premises to Cloud Advanced Snowflake Concepts 8) Continuous Data Loading Snowpipe & Configuration Continuous Data Loading using Snowpipe 9)Snowflake & Snowpark Overview of Snowflake & Snowpark Differences Between Snowpark and Spark Reading Data from Multiple Sources (CSV, JSON, Parquet, Delta, Iceberg) 10) Advanced Data Processing Using Snowflake Tables as Data Sources Handling Large-Scale Data Ingestion Optimizing Queries with Pushdown in Snowpark 11) Data Processing Optimization Partitioning, Bucketing & Indexing in Spark Building Reusable ETL Pipelines Handling Slowly Changing Dimensions (SCD Type 1, 2, 3) 12) Scheduling & Performance Optimization Scheduling ETL Jobs using ADF or AWS glue Optimizing Performance for Large-Scale Data 13) UDFs and Procedures Analytical Functions User Defined Functions Procedures 14) Performance Tuning Query Tuning Clustering Micro Partitions Materialized Views DBT & Data Governance 15) Introduction to DBT DBT Overview Set up DBT Cloud Connecting DBT to Snowflake Data loading into the data warehouse 16) GitHub Integration & IDE Version Control Data repository setup & connect to DBT cloud Fundamentals of DBT cloud IDE Connecting Repository & Warehouse 17) DBT Materialization Understanding Materializations Model Dependencies Table Type Materialization Incremental & Ephemeral Materialization 18) DBT Sources & Seeds Understanding Seeds and Sources Source Configuration Source Freshness & Validations 19) DBT Testing & Snapshots DBT Testing Framework Snapshots & Incremental Strategies 20) DBT Macros & Hooks Creating & Using Macros Hooks & Exposures Setting up a BI Dashboard in Snowflake 21) Data Security & Compliance Column-Level and Row-Level Masking Policies Working With Dates and Time Stamps Date and Time Stamp Conversions Data Pipelines, Airflow & Real-Time Project 22) Data Orchestration Creating ELT Pipeline, Connecting ADF to Snowflake using ODBC, JDBC & REST API Orchestration with ADF or AWS Glue or Airflow 23) Airflow Architecture & Snowflake Integration Installing & Configuring Apache Airflow Running Airflow Locally using Docker Architecture & Core Components (DAGs, Tasks, Operators, Hooks, Sensors) Airflow Scheduler & Executor Types Installing Snowflake Provider Package Configuring Airflow Connections to Snowflake 24) DAGs & Task Dependencies Understanding DAG Structure & Task Dependencies Using Snowflake Operators & Hooks SnowflakeOperator for running SQL queries SnowflakeHook for executing queries dynamically PythonOperator with Snowflake for custom processing BranchOperator for conditional workflows 25) Build a fully automated Snowflake Data Pipeline using Airflow Using dbt with Airflow & Snowflake 26) Real-World Use Case – Project Overview Explanation of the Project Planning the Data Pipeline Architecture 27) Project Implementation – Part 1 Data Ingestion using ADF & Airflow 28) Project Implementation – Part 2 Query Optimization & Performance Tuning Setting up BI Dashboards 29) Testing & Debugging Testing Debugging ETL Pipelines 30) Final Review & Certification Recap of Key Topics and Project discussion

Courses

Answers by Abhishek Agrawal (2)

Answered on 17/09/2019

Salesforce
Answers 48 Comments
Dislike Bookmark

Answered on 17/09/2019

It dependsPower BI: Predictive Modelling and ReportingTableau: Data Visualization
Answers 62 Comments
Dislike Bookmark

Abhishek Agrawal describes himself as Azure Data Engineer | Microsoft Certified | DP-203 | Azure Data Factory | Azure Databricks. He conducts classes in Azure Data Factory Training, Azure Databricks Courses and Interview Skills. Abhishek is located in Kaikondrahalli, Bangalore. Abhishek takes at students Home and Regular Classes- at his Home. He has 14 years of teaching experience . Abhishek has completed Bachelor of Technology (B.Tech.) from NIT Raipur in 2016. He is well versed in English and Hindi. Abhishek has got 114 reviews till now with 100% positive feedback.

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