Amplifydreams Academe ( By Anil Patel)

UrbanPro Certified Tutor

For Snowflake Training

Teaching Experience in detail in Snowflake Training

The Snowflake Cloud course is designed to train professionals in modern cloud data warehousing and analytics. Learn to manage structured and semi-structured data with high performance and scalability. The course includes: Snowflake Architecture: Cloud-native design, virtual warehouses Data Loading & Unloading: Using stages, file formats, and copy commands SQL & Scripting: DDL, DML, stored procedures, and functions Time Travel & Cloning: Data recovery and versioning Performance Tuning: Caching, scaling, and optimization Integration: With BI tools and cloud storage (AWS, Azure, GCP)

Teaching Experience in detail in Microsoft Azure Training

Azure Data Engineering Program is tailored for professionals aiming to build scalable data solutions on Microsoft Azure. The course offers hands-on training with real-time projects and covers: Azure Data Factory: Data integration, pipeline creation, mapping data flows, triggers, and monitoring. Azure Databricks: Big data processing using PySpark, notebooks, delta lake, and ML integration. Azure Data Lake & Storage: Efficient data storage and retrieval. Azure Synapse Analytics: Data warehousing and analytics. Real-world Projects: ETL, orchestration, and automation tasks.

Teaching Experience in detail in Microsoft Power BI classes

The Microsoft Power BI course is designed to help professionals master business intelligence and data visualization. Learn how to connect, transform, and visualize data through interactive dashboards and reports. This hands-on course includes: Power BI Desktop: Data loading, modeling, DAX calculations Power Query Editor: Data cleaning and transformation Data Visualization: Charts, KPIs, slicers, and custom visuals Power BI Service: Publishing, sharing, and scheduling reports Row-Level Security: Data access control Real-Time Dashboards: Live data and alerts Ideal for analysts, managers, and anyone seeking data-driven decision-making skills

Teaching Experience in detail in Azure Data Factory Training

Azure Data Factory Course – Power Your Career in Cloud Data Engineering Azure Data Factory (ADF) is Microsoft’s flagship cloud-based data integration service that allows data professionals to create, schedule, and orchestrate data pipelines across diverse sources and destinations. As organizations rapidly migrate to the cloud, ADF has become a critical skill for Data Engineers, ETL Developers, and Cloud Architects. This hands-on course is designed to make you job-ready in the field of cloud-based data engineering using ADF. You will learn how to build scalable, automated, and secure data pipelines that move and transform data across on-premise and cloud platforms.

Teaching Experience in detail in Big Data Training

The Big Data Hadoop Program is designed to provide in-depth knowledge of big data frameworks and processing techniques. This hands-on course helps professionals manage and analyze large datasets efficiently. The program covers: Hadoop Ecosystem: HDFS, YARN, and MapReduce fundamentals Apache Hive: Data warehousing and SQL-like querying Apache Pig: Scripting for data transformation Apache Sqoop & Flume: Data ingestion from RDBMS and streaming sources Apache HBase: NoSQL database for real-time access Real-Time Projects: End-to-end ETL and big data workflows Ideal for data engineers, developers, and analytics professionals

Teaching Experience in detail in Tableau Training

The Tableau Program is designed to help professionals master data visualization and business intelligence. Learn to create interactive dashboards and compelling visual stories from raw data. This hands-on course includes: Tableau Interface: Worksheets, dashboards, and storyboards Data Connections: Importing from Excel, databases, and cloud sources Data Preparation: Filtering, grouping, joins, and blends Visual Analytics: Charts, maps, KPIs, and calculated fields Advanced Features: Parameters, sets, and Level of Detail (LOD) expressions Publishing & Sharing: Tableau Public, Server, and Online Ideal for analysts, managers, and data-driven professionals.

Teaching Experience in detail in Python Training classes

I have 15 yrs experience in Teaching with real time scenario. Master Python for Data Engineering, Analytics & Data Science Python has emerged as the most in-demand language for building scalable data pipelines, performing insightful analytics, and developing cutting-edge machine learning models. This comprehensive Python course is designed for professionals and aspiring individuals looking to build strong foundations in Data Engineering, Data Analytics, and Data Science using Python. Whether you're transitioning into a data role or enhancing your existing skillset, this course combines theoretical concepts with practical real-time scenarios. By the end of the course, you will be able to write optimized Python code, automate data workflows, analyze large datasets, and even build predictive models.

Teaching Experience in detail in Interview Skills Training

Master Interview Skills for the IT Industry – Stand Out and Get Hired In today’s competitive IT job market, technical knowledge alone isn’t enough. To land your dream role, you must also master interview skills that showcase your expertise, confidence, and communication abilities. Our Interview Skills Training for the IT Industry is designed to help freshers, career switchers, and experienced professionals present themselves effectively and clear interviews with confidence. This training combines real-world mock interviews, resume review, HR and technical Q&A, and behavioral skills to prepare you for success in both virtual and in-person interviews. 🎯 Key Focus Areas: Resume Building: Crafting a job-winning resume tailored for specific roles (e.g., Data Engineer, Java Developer, Business Analyst) Self-Introduction Mastery: Structuring your intro to highlight your strengths and value in 60–90 seconds Behavioral Interview Skills: Using the STAR method (Situation, Task, Action, Result) to answer experience-based questions Technical Interview Preparation: Role-specific preparation for Data Engineering, Cloud, DevOps, Testing, etc. Mock Interviews: Practice sessions with feedback to improve fluency, confidence, and clarity Communication & Soft Skills: Body language, tone, and eye contact for both online and offline interviews HR Round Preparation: Handling salary expectations, gaps in employment, and career goals