Kaikondrahalli, Bangalore, India - 560035
Verified 
Certified 
138
Details verified of Abhishek Agrawal✕
Identity
Education
Know how UrbanPro verifies Tutor details
Identity is verified based on matching the details uploaded by the Tutor with government databases.
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.
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.
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.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Interview Skills Training
10
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
4.9 out of 5 114 reviews
Shruti Girmal
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 also boosted my confidence for interviews. Highly recommended for anyone preparing for Azure Data Engineering roles! "
Varun K
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 knowledgeable and broke down complex topics like data partitioning, data flow performance tuning and managed identities in a very digestible way. This course has definitely strengthened my ability to design and implement scalable, secure, and high-performance data solutions in Azure. Highly recommend it to anyone looking to advance their career as a Data Engineer on the Microsoft stack! "
Swapnil Narvekar
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 projects. Highly recommended for anyone looking to master Azure Data Engineering. "
Krishna
"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 topics in a way that is easy to follow. However, the video quality could be improved in a few sessions. "
Anbarasan Muthu
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"The teaching was exceptionally clear, well-structured, and engaging. Complex topics were explained in a simple and understandable manner, making learning enjoyable and effective. Thank you for your excellent guidance! "
Abhishek Kumar
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"Thoroughly enjoyed the entire session! Every concept was explained in a clear and engaging way, making it easy to understand and follow along. The explanations were thorough, yet concise, and I felt supported throughout. The way the topics were presented kept me interested and helped me grasp the information better. I'm grateful for the time and effort put into making the session both educational and enjoyable. Highly recommend it to anyone looking to learn or gain deeper insights on the topic! "
Roopini G
Azure Data Engieering | Azure Data Factory | Azure Databricks
"I highly recommend Education Ellipse’s Azure Data Engineering. Abishek’s expert instruction, clear explanations, and hands-on projects made complex concepts accessible and engaging. The course offered a perfect blend of theory and practice, with a comprehensive curriculum that covered everything. I appreciated the emphasis on real-world applications and the opportunity to work on projects that reinforced my learning. This course is a game-changer that will equip you with the skills and confidence to succeed in the field of Data Engineer. Abishek’s guidance and support were invaluable, and I feel well-prepared to tackle complex Data challenges. Overall, this course exceeded my expectations in every way!" "
Devendra Govande
Azure Data Engineering | Azure Datafactory | Azure Databricks
"I recently completed the azure data engineering course by education ellipse, led by abhishek, and I must say it was a well-structured and informative learning experience. What I liked: ✅ comprehensive curriculum: the course covers all essential azure data engineering concepts, including azure data factory, azure databricks, adls, synapse, and sql on azure, providing a strong foundation. ✅ hands-on labs & practical scenarios: the practical exercises and real-world case studies helped reinforce theoretical concepts effectively. ✅ clear & concise explanations: abhishek explains complex topics in a simple and structured manner, making it easy to understand even for beginners. ✅ industry-relevant approach: the course aligns well with industry expectations and prepares learners for real-world data engineering challenges. ✅ engaging teaching style: abhishek’s way of teaching keeps the sessions interactive and insightful. Areas for improvement: 🔹 more advanced use cases: while the fundamentals are well covered, adding more advanced real-world projects or enterprise-level implementations could further enhance learning. 🔹 more focus on performance optimization: topics like cost optimization, query tuning, and performance best practices in azure could be explored in greater detail. 🔹 community/discussion forum: a structured community or discussion space (e.G., slack, discord, or linkedin group) could help students engage and collaborate better. "
Sri
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"Abhishek has a strong command over azure data engineering concepts and tools, making him a highly effective tutor. He demonstrates a deep understanding of the azure ecosystem, including services like azure data factory, azure databricks, and azure sql database, which he explains clearly and thoroughly. "
Ravindra
"Very well presented with clear explanation through out the course. Delivery method and content all were good. And expected more."
Amol
Azure Data Engieering | Azure Data Factory | Azure Databricks
"Overall it's a real time practical oriented and concept clearing course. completed it within 3 months(selected recorded). Now I have clear the concepts and confident on azure cloud technology. Thank You. "
Anil Polimetla
"The training has significantly improved my ability to handle large-scale data processing tasks, and I now feel more confident in leveraging Databricks for advanced analytics. "
Sai Chandan
"The course structure is well-designed and highly valuable for learning. The instructors were extremely helpful throughout, providing practical explanations and ensuring clarity on every concept. "
Sheshan
"It was good experience taking this course from Abhishek. The topics mentioned in curriculum was covered. It's very good course for beginners or someone very new Data engineering field. I felt the sequence of topics covered was random. Sometimes it was difficult for me to relate current topic to previous as we went forward. Also Abhishekh will take only 30% of classes, Rest are taken by different teacher. Overall It was worth for the price they offer it for. "
Reply by Abhishek
It was an integrated course, and due to the birth of my child, it was informed beforehand that the classes would be shared between two tutors.
Bapi Malik
"It was good experience taking this course from Abhishek. The topics mentioned in curriculum was covered. It's very good course for beginners or someone very new Data engineering field. I felt the sequence of topics covered was random. Sometimes it was difficult for me to relate current topic to previous as we went forward. Also Abhishekh will take only 30% of classes, Rest are taken by different teacher. Overall It was worth for the price they offer it for. "
Reply by Abhishek
It was an integrated course, and due to the birth of my child, it was informed beforehand that the classes would be shared between two tutors.
Answered on 17/09/2019
Answered on 17/09/2019
Want to learn from Abhishek?
Share this Profile
Recommended Profiles
Reply to 's review
Enter your reply*
Your reply has been successfully submitted.
Certified
The Certified badge indicates that the Tutor has received good amount of positive feedback from Students.
View this Course
Hafeezpet, Hyderabad 
