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You will get Microsoft Fabric End to End Data Analytics Solution
Project details
I am a Microsoft certified Fabric Analytics Associate Engineer with 5+ years of experience.
In this project, I will deliver a Comprehensive Data Analytics Solution with Microsoft Fabric, adhering to the Medallion Architecture and best practices for data management. The scope includes:
Lakehouse Creation: I will set up a secure and scalable lakehouse, integrating data from multiple sources, including Dataverse and SQL Server.
ETL Pipeline: A robust ETL pipeline will be developed for efficient data ingestion, transformation, and loading, ensuring clean and prepared data.
Dataflow & Semantic Models: I will create a dataflow and build semantic models to standardize and streamline data analysis across your organization.
Custom Report with KPIs: A single, interactive Power BI report will be crafted, showcasing relevant KPIs tailored to your business needs.
This project ensures a seamless and efficient data analytics workflow, following industry-standard best practices and leveraging the latest technologies.
In this project, I will deliver a Comprehensive Data Analytics Solution with Microsoft Fabric, adhering to the Medallion Architecture and best practices for data management. The scope includes:
Lakehouse Creation: I will set up a secure and scalable lakehouse, integrating data from multiple sources, including Dataverse and SQL Server.
ETL Pipeline: A robust ETL pipeline will be developed for efficient data ingestion, transformation, and loading, ensuring clean and prepared data.
Dataflow & Semantic Models: I will create a dataflow and build semantic models to standardize and streamline data analysis across your organization.
Custom Report with KPIs: A single, interactive Power BI report will be crafted, showcasing relevant KPIs tailored to your business needs.
This project ensures a seamless and efficient data analytics workflow, following industry-standard best practices and leveraging the latest technologies.
Database Type
MySQL, MS SQL, Oracle, SQLiteWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 15 days | 21 days | 28 days |
Number of Revisions | 2 | 4 | 8 |
Schema Diagram | |||
Permissions Setup | - | - | |
Import/Export Data | - | ||
Admin Panel Setup | - | - |
About Yanamadala
Azure Data Engineer | Azure Data Factory Expert | Fabric certified
Hyderabad, India - 11:10 pm local time
Organizations struggle with data spread across cloud storage, databases, and multiple systems—making analytics slow, unreliable, and hard to scale.
I design and build end-to-end Azure-based data pipelines that reliably ingest, transform, and store data in a structured, analytics-ready format using Azure Data Factory, Databricks, ADLS, and Azure SQL/Synapse.
💼 What I Specialize In
Azure Data Engineering & ETL
• Designing and implementing end-to-end ETL pipelines using Azure Data Factory
• Developing custom ADF pipelines, datasets, linked services, and data flows
• Implementing on-cloud ETL solutions using ADF, ADLS, and Azure Databricks
• Architecting solutions involving ADF + ADLS + ADB
Cloud Storage & Data Processing
• Storing and reading data from Azure Blob Storage and Azure Data Lake
• Working with structured and semi-structured data
• Managing secure credentials using Azure Key Vault
Databricks & Spark
• Hands-on experience with Azure Databricks
• Working in Spark environments using:
○ Spark Core
○ Spark SQL
• Building scalable transformation logic for large datasets
SQL & Data Modeling
• Strong understanding of SQL concepts:
○ DDL & DML
○ Joins
○ Functions
○ Stored Procedures
• Preparing data for analytics and reporting use cases
📊 Project & Delivery Experience
✅ Enterprise Cloud ETL Pipelines
Built and maintained multiple Azure Data Factory pipelines to ingest, transform, and load data into Azure SQL and Synapse for business reporting.
✅ Azure-Based Data Architecture
Actively involved in designing cloud data architectures leveraging ADLS, ADF, Databricks, and Azure SQL.
✅ Secure & Scalable Data Processing
Implemented Key Vault–based credential management to ensure secure access across data pipelines.
✅ Proof of Concepts (POCs)
Hands-on experience building Azure Fabric POCs to evaluate modern data platform capabilities.
🛠️ Technical Stack
Core Technologies
• Azure Data Factory (ADF)
• Azure Databricks (ADB)
• Azure Data Lake Storage (ADLS)
• Azure Blob Storage
• Azure SQL Database
• Azure Synapse Analytics
• Azure Key Vault
• Azure Repos
Programming & Querying
• SQL
• Spark SQL
• PySpark
🏆 Why Work With Me
✓ 5+ Years of Azure Data Engineering Experience
✓ Strong ownership in design, development, and implementation
✓ Experienced in enterprise-scale projects across multiple organizations
✓ Passionate about learning new technologies and methodologies
✓ Proven experience across TCS, Capgemini, LTIMindtree, and WinWire
📌 Professional Experience
• Senior Software Design Engineer – WinWire Technologies (Aug 2025 – Present)
• Senior Data Engineer – LTIMindtree, Hyderabad (Aug 2023 – May 2025)
• Data Engineer – Capgemini, Hyderabad (Dec 2021 – May 2023)
• Associate Consultant – TCS, Hyderabad (Oct 2019 – Oct 2021)
🎓 Education
• Graduation – Vignan University
𝗞𝗲𝘆𝘄𝝾𝗿𝗱𝘀: Azure data architect, Microsoft Fabric expert, OpenAI, ADF pipeline developer, Power BI dashboard specialist, Power BI DAX consultant, Azure data engineering, Azure Synapse analytics expert, Databricks notebook developer, ETL pipeline automation, SQL data warehouse architect, Azure machine learning integration, Power BI apps developer, Microsoft Fabric reporting dashboard, Azure OpenAI integration, Power BI custom visuals expert, ADF dataflow optimization, Databricks and Fabric integration, Azure data lake architect, modeling expert, Azure data automation consultant
Steps for completing your project
After purchasing the project, send requirements so Yanamadala can start the project.
Delivery time starts when Yanamadala receives requirements from you.
Yanamadala works on your project following the steps below.
Revisions may occur after the delivery date.
Reconnect on the checks once per two days
We will reconnect once every two days to review the checks and discuss any code or use-case changes