Vinay Middha

Objective:

Automate internal and customer-facing queries using AI, reducing the load on customer service teams.

Role:

Lead Architect and Developer

Responsibilities:

• Led the chatbot architecture, ensuring integration with the company’s CRM and knowledge base.
• Developed backend systems using Python and GPT-3 APIs, focusing on scalability and accuracy.
• Conducted user training and performance tuning based on feedback.
  

Tools Used: GPT-3 APIs, Python, Flask

Outcome: Reduced customer service response time by 30% and empowered internal teams to get instant data-driven insights.

Objective:

Provide real-time insights into retail sales and inventory data to enable senior management to make better decisions.

Responsibilities:

• Developed the data pipeline using Python and SQL to integrate sales, inventory, and marketing data from various sources.
• Created a dynamic Power BI dashboard, allowing users to drill down into specific data points and customize reports.
• Managed stakeholder communication and project milestones.
  

Tools Used:

Power BI, Python, SQL Server

Outcome:

Improved decision-making speed and accuracy by providing senior management with a single source of truth.

Improved decision-making speed and accuracy by providing senior management with a single source of truth

Objective:

Migrate data from on-premises systems to the cloud, ensuring seamless data integration and reporting improvements.

Responsibilities:

• Designed and implemented an ETL pipeline using Python and Azure Data Factory, ensuring data quality and integrity during the migration.
• Led a team of developers in building the pipeline, while managing timelines and client expectations.

Conducted performance tuning and optimization post-migration.

Tools Used:

Python, Azure Data Factory, SQL, Azure SQL

Outcome:

Decreased data latency, optimized report generation by 35%, and streamlined data management processes

Cloud Migration: On-Premise to Azure Cloud

Objective: Migrate a legacy on-premise infrastructure, including applications, databases, and storage, to the Azure Cloud environment for enhanced scalability, security, and cost optimization.

Responsibilities:

• Led the migration project as the Cloud Solution Architect, overseeing the end-to-end migration of critical business applications and data from an on-premise data center to Azure.
• Conducted cloud readiness assessments, identified system dependencies, and created a comprehensive migration strategy.
• Designed the target architecture in Azure, incorporating Azure Virtual Machines (VMs), Azure SQL Database, Azure Blob Storage, and Azure Active Directory (AD) for identity management.
• Implemented Azure Site Recovery (ASR) and Azure Migrate to automate the migration process and ensure minimal downtime.
• Configured Virtual Networks (VNet) and set up Network Security Groups (NSGs) for secure network communications.
• Utilized Azure Cost Management and Azure Monitor to optimize cloud resources and ensure efficient cost management post-migration.
• Managed the migration of databases using Azure Database Migration Service for seamless transition from on-premise SQL Server to Azure SQL Database.
• Conducted testing and validation for performance, security, and compliance post-migration, ensuring alignment with business continuity objectives.

Tools Used:

Azure Migrate, Azure Site Recovery (ASR), Azure Virtual Machines, Azure SQL Database, Azure Blob Storage, Azure Active Directory, PowerShell, Azure Cost Management, Azure Monitor.

Outcome:

Successfully migrated all critical business services to Azure with zero data loss and minimal downtime, resulting in a 25% reduction in operational costs and improved scalability and security.