azuresqldatabase

Multi-agent marketing automation system using Azure OpenAI, RAG pipelines, and structured experimentation workflows.

This repository provides a Python-based implementation of customer sentiment analysis using the Azure SQL Databsase and OpenAI API. By leveraging the power of advanced language models, this project accurately classifies customer feedback as positive, negative, or neutral.

Built an end-to-end data pipeline using Azure tools, including data ingestion, transformation, and reporting. Used Databricks for processing and Azure Data Factory for orchestration to generate business insights from structured data.

End-to-end retail data platform with Azure, Apache Atlas and Power BI

A secure Azure-based fee management system for student fee lookup, payment-status calculation, controlled administrator updates, and automated overdue reminders.

A cloud-native data engineering pipeline built on Microsoft Azure to ingest, transform, and visualize COVID-19 data for reporting and analysis.

DocVersion is a secure cloud file system with versioning, in-browser editing, previews, real-time updates (SignalR), and CLI sync (pull/push/sync). Built with ASP.NET Core, EF Core, Azure SQL, Blob Storage, App Service, Key Vault, and TypeScript.

Projeto end-to-end de restauração, migração e modernização de dados para Microsoft Azure, utilizando o AdventureWorksDW2022. Desenvolvido com Azure Blob Storage, Azure SQL Managed Instance e Azure SQL Database, integra automação em Python, T-SQL, autenticação segura e visualização analítica de dados no Power BI.

Sales Data Lakehouse Pipeline using Azure & Databricks

End-to-end Medallion (Bronze-Silver-Gold) pipeline for airline booking analytics, built entirely on Azure Data Factory. Ingests data from Azure SQL DB, a REST API, and on-prem CSV files into ADLS Gen2, with watermark-based incremental loads, producing ranked Gold views like Top Airlines by Sales and Top Flights by Revenue.

Production-grade Mutual Fund Analytics Platform - Azure + Python + Power BI

Developed an end-to-end Insurance Policy Data Lakehouse using Azure Data Factory, ADLS Gen2, and Azure Databricks, implementing Bronze/Silver/Gold architecture to ingest, transform, validate, and curate policy, customer, claims, branch, and agent data from REST API, CSV/JSON, and Azure SQL sources for downstream Power BI analytics.