.Net Developer Senior C#

Oleg Gorlov

Phone : +1-416-***-****

Email p: ***********@*****.***

Email b: ***********@******-**-**********.**

LinkedIn: https://www.linkedin.com/in/oleggorlov

Senior Cloud Architect

Senior Full Stack Developer

10+ years designing mission-critical cloud infrastructure for high-compliance environments. Multi-cloud SME (Azure/AWS-specialized) experienced in scaling secure systems across diverse Canadian sectors. Transforms complex requirements into resilient, high-performance architectures ensuring data integrity and reliability.

Qualifications Summary

Security & Compliance

• Established Unified policies for PHI encryption AES-256, TLS 1.3, audit trails, and access controls across Azure, AWS, GCP.

• Enforced Zero-Trust Architecture: Enforce RBAC, MFA, Azure AD/AWS IAM integration for consistent identity governance.

• Conducted Threat Modeling: Automated vulnerability scans Azure Security Center, and breach response workflows.

• Ensured compliance data protection with SOC, ISO 27001, SOC2, PCI DSS, HIPAA, HITECH, HITRUST, GDPR practices.

• Created resource groups, Azure accounts, Azure Policy and IAM policies Azure AD/Entra ID.

• Secured IaaS/PaaS/SaaS environments NSGs, WAFs, IDS/IPS, firewalls.

• Implemented Threat modeling, identity management OAuth/OpenID, SAML, and zero-trust architectures.

• Engineered tenant-specific encryption workflows: Azure Key Vault (CMK) for PHI, AWS KMS (BYOK) for PCI data.

• Built Medallion Architecture on Delta Lake (Azure/AWS) with row/column-level security, ensuring GDPR-compliant data masking for multitenant analytics.

• Synthetic Data Generation: Built compliant data for testing/training across clouds.

Enterprise Architecture

• Multi-Cloud Governance: Designed TOGAF-driven roadmaps for workload placement FHIR APIs on Azure, billing on AWS.

• Interoperability Frameworks: Developed Zachman-based models for cross-cloud data flows (e.g., FHIR Patient resources in Azure Synapse AWS Redshift).

• Applied Enterprise architecture principles and methodologies TOGAF®, Archi, Sparx.

• Utilized TOGAF® ADM and Zachman Framework, aligning cloud solutions with organizational goals FHIR-based EHR migrations.

• Mapped perspectives Planner, Owner, Designer, Builder and aspects Data, Function, Network, People to create cohesive architecture plans for cross-departmental collaboration.

Multi-Cloud Architecture Patterns

• Designed and deployed architecture patterns including Microservices, Event-Driven Architecture (EDA), and SOA to optimize cross-cloud scalability and resilience.

• Engineered Hybrid-Cloud FHIR Integration: Deploy HL7 FHIR APIs across Azure Health Data Services and AWS HealthLake for EHR interoperability.

• Built Event-Driven Pipelines: Kafka/Azure Event Grid AWS EventBridge for real-time PHI processing.

• Implemented Disaster Recovery: Multi-cloud failover (Azure Site Recovery AWS DR) for critical workloads like EHRs.

Azure Services Expertise

• Designed and deployed Azure infrastructure and services for enterprise-scale healthcare systems, ensuring HIPAA/GDPR compliance via Azure Policy.

• Leveraged Azure Data Factory, OneLake, ADLS Gen2, Delta Lake, and SQL Server to reduce data processing costs by 25% for FHIR Patient and Observation workflows.

• Built data pipelines and ETL jobs to automate ingestion of clinical and billing data into Azure Synapse.

• Created resource groups, Azure accounts, and IAM policies Azure AD / Entry ID.

• Utilized Azure Functions, Logic Apps, Service Bus, Event Grid, Key Vault, Monitor, Insights.

• Designed Azure networking architectures VNet peering, NSGs to isolate EHR systems and PCI-DSS payment environments.

• Engineered complex data transformations using Azure Data Factory for harmonizing legacy data into FHIR R4 standards.

AWS Services Expertise

• AWS Cloud Solutions: Deployed and managed AWS infrastructure for healthcare SaaS platforms, enforcing HIPAA/HITRUST compliance via AWS Config and IAM policies.

• AWS Data Services: Integrated AWS Glue, Redshift, S3, and Lambda to accelerate analytics on FHIR DiagnosticReport data, reducing processing time by 30%.

• Data Pipelines & ETL: Developed ETL pipelines using AWS Data Pipeline and Glue to migrate legacy EHR data to FHIR-compliant S3 buckets.

• Resource Management: Established AWS accounts, IAM policies, and resource tagging frameworks for cost allocation across 50+ projects.

• Core AWS Services: Utilized EC2, S3, Lambda, and CloudFormation to deploy serverless FHIR APIs and PCI-DSS-compliant billing systems.

• Networking: Architected VPCs, subnets, and security groups to segment PHI workloads (e.g., isolating AWS HealthLake from public access).

• Data Transformation: Automated custom data transformations using AWS Lambda converting DICOM imaging data into FHIR ImagingStudy resources.

• Data Warehousing: Designed HIPAA-aligned data warehouses with Amazon Redshift and AWS Data Lakes, enabling cross-facility analytics.

Multi-Cloud Migration & Modernization

• Migrated legacy applications, databases, and infrastructure to Azure using Azure Migrate, ensuring HIPAA-compliant encryption for PHI.

• Leveraged AWS Migration Hub, SMS, and DMS to transition on-prem EHRs to AWS, achieving 99.9% data integrity for FHIR Patient resources.

• Designed Azure-to-AWS and hybrid-cloud migrations for healthcare systems, prioritizing GDPR data minimization and 25% cost reduction via TCO modeling.

• Modernized on-prem data (HL7v2, CDA) into FHIR Patient and Observation resources, hosted in Azure Health Data Services and AWS HealthLake for cross-cloud analytics.

Cloud Architecture & Governance

• Government: Implemented TBIPS, ITSG-33, OPS I&IT Standards, and GCcloud requirements for federal/provincial systems.

• Municipal: Architected Open Data platforms with CAMA integration and Esri ArcGIS for spatial analytics.

• Environmental: Built emissions monitoring systems using geospatial analytics and IoT sensor networks.

• Healthcare: Certified solutions for OHIP compliance with Meditech HL7 interfaces and OTN standards.

• Enforced Zero-Trust security via RBAC, Azure Policy, and AWS GuardDuty across 50+ workloads, achieving SOC2/ISO 27001 compliance.

Data Engineering & Interoperability

• Structured raw FHIR data in Azure Data Lake/AWS S3 (Bronze layer) with AES-256 encryption.

• Cleansed and standardized data in Delta Lake/Redshift (Silver layer), applying GDPR pseudonymization.

• Optimized analytics-ready datasets in Synapse/QuickSight (Gold layer), enabling real-time clinical dashboards.

• Built Azure Data Factory AWS Glue pipelines to process FHIR Observation and DiagnosticReport resources, improving data interoperability by 40%.

FinOps and Cost Optimization

•Achieved 30% cost reduction by aligning solutions with usage, business needs, and budget constraints.

• Estimated migration savings using Azure Cost Management and optimizing cloud spend for 50+ workloads.

• Deployed multi-cloud cost dashboards Azure Cost Management, AWS Cost Explorer for unified financial visibility.

• Reduced idle spend by 45% using Kubernetes (AKS/EKS) autoscaling for FHIR API workloads.

Infrastructure as Code (IaC)

• Enforced Zero-Trust architecture through RBAC/PIM, Azure Policy, and AWS GuardDuty across 50+ workloads

• Achieved SOC 2 Type II and ISO 27001 certification via security-as-code implementation

• Automated HIPAA guardrails via GitOps pipelines (Azure DevOps/GitHub Actions), cutting audit prep time by 50%.

• Managed Kubernetes clusters for containerized microservices, achieving 99.95% uptime for EHR systems.

• Secured Docker images in Azure Container Registry with vulnerability scanning and access controls.

• Developed application configurations using YAML and Bicep for Azure environments.

Generative AI & Multi-Cloud Integration

• Proven track record embedding Azure OpenAI (GPT), AWS Bedrock, and custom models into .NET applications.

• Certifications: Fundamentals of Generative AI, Azure OpenAI Service, AI Python for Data Science.

• Trained models on Azure ML using FHIR data and deployed inferences via AWS SageMaker, reducing diagnostic latency.

• Generated PHI-safe clinical notes using Azure OpenAI + AWS Bedrock, cutting documentation time by 55%.

• Automated DICOM pipelines with PHI safeguards, achieving 98% accuracy in AI-driven tumor detection.

• Produced FDA-compliant model explainability reports using Azure Responsible AI Dashboard and AWS SageMaker Clarify.

Back-End

•.NET Stack: Expert in C#, ASP.NET, .NET Core, and related frameworks for building scalable, secure applications.

Front-End

• Proficient in HTML5, CSS3, JavaScript, and modern frameworks (React, Angular) for full-stack solutions.

Work Experience

Department of Pharmacology and Toxicology U of T. Toronto, ON

Senior Cloud Architect

Senior Full Stack Developer

Sep 2023 - Apr 2025

Project : Re-architecting Legacy Systems and Migrating to Azure Services.

Objective:

Enhance data management, processing, and analytics capabilities by migrating to Azure Services, optimizing data pipelines, and leveraging advanced BI and ML tools.

Business Architecture

• Collaborated with Stakeholders: Worked closely with data scientists, analysts, and business stakeholders to understand requirements and deliver tailored predictive analytics solutions.

• Analyzed and evaluated alternative technology solutions to address business problems.Described how the enterprise needs to operate to achieve business goals and respond to strategic drivers.

Information Systems Architecture

• Data Architecture: Defining the structure of an organization's logical and physical data assets.

• Application Architecture: Creating models of the interactions between application systems as well as the underlying architecture of the applications.

• Developed and implemented comprehensive information systems architectures, covering both data and application systems.

Solution and Functional Development

• Implemented integrated IT solutions that align with business objectives. Modeled business processes, translated them into functional specifications, and ensured seamless integration of systems with a focus on scalability, performance, and security. Provided ongoing consultation to optimize solutions and adapt to evolving business needs.

• Defined Input/Output Sources: Developed detailed plans for the technical design phase and obtained approval for the system proposal.

• Collected feedback from stakeholders to understand the impact and effectiveness of the strategy.

• Analyzed Functional Requirements: Identified information, procedures, and data flows to ensure comprehensive understanding of system needs.

• Collaborated with data architects, engineers, and business analysts to define data integration standards, ensuring secure and efficient data flow across systems.

• Worked closely with project managers to align integration solutions with organizational goals and phased implementation plans.

Serverless App

• Created a Serverless ReactJS App complete CRUD operations for a REST API with Azure Functions and Blob Storage base on large and complex multi-tenant Azure Functions for a hospitals chain. This includes http triggers, service bus triggers, queue triggers workflow engine for long running processes built on durable functions.

Application Development

• Architected and implemented a multi-tiered electronic health record (EHR) web application based on Microsoft’s enterprise development standards, utilizing a clean separation of concerns:

• Presentation Layer – Developed based on C#, Angular, TS, JS, Node.js, NPM, Material Design, Bootstrap.

• Business Logic Layer (BLL) – Encapsulated logic using .NET Core services following CQRS and MediatR patterns.

• Data Access Layer (DAL) – Azure SQL, MongoDB/CosmosDB, Integrated ORM Dapper with Azure SQL Server using stored procedures, views, and triggers.

• Binding Access Component (BAC) – Designed seamless interfaces between the UI and BLL for maintainable integration.

• Model Layer – Constructed strongly typed model classes with data annotations and validation logic.

• Context Layer – Configured DbContext in .NET Core with dependency injection for Azure SQL Server connectivity.

• Ontario EHR and used interface FHIR to enable health data, including clinical and administrative data from various departments of UofT.

• Scalable .NET Systems: Designed .NET 7, C# 9, ASP.NET Core APIs integrated with for government workloads, supporting 500k+ users.

Monitoring, Alerts, and Logging

• Set up monitoring, alerts, and logging for Azure Services and ETL processes to track data movement, identify issues, and ensure timely resolution. Utilized Azure Monitor to collect and analyze telemetry data from Azure resources, applications, and services.

• Monitored and optimized integration performance using Azure Monitor, Application Insights, and Log Analytics, reducing latency and improving throughput for serverless workflows.

• Profiled and tuned durable functions to enhance cost efficiency and scalability.

Troubleshooting

• Conducted post-mortem analysis after major incidents to prevent future occurrences. Created a feedback loop for continuous process improvement.

• Provided technical support and training to end-users. Troubleshoot and resolve data-related issues in collaboration with operational support teams.

Infrastructure as Code

• Designed and maintained Azure Services IaC practices using Terraform and Ansible.

• Implemented and administered containerized applications with Kubernetes (AKS) for managing and orchestrating containerized applications maintained high availability and scalability in Production.

• Leveraged Azure Container Registry, a managed Docker registry service based on Docker Registry, to store and manage container images.

• Developed and managed application configurations using YAML, Bicep.

• Designed and maintained Docker images and Dockerfiles for application deployment, ensuring consistency and scalability.

Debugging and Continuous Improvement:

• Used Debugging Tools, Error Handling, Performance Optimization.

development, staging and production environments.

• Post-Mortem Analysis: Conducted post-mortem analysis after major incidents to understand the root cause and prevent future occurrences.

• Feedback Loop: Created a feedback loop to continuously improve processes and tools based on lessons learned.

Testing & Quality Assurance

• Developed automated unit and integration tests using xUnit and Moq, improving API reliability and regression coverage.

• Integrated CI/CD pipelines via GitHub Actions and Azure DevOps, enabling automated testing and containerized deployment to Azure App Services and Azure Functions.

• Designed and executed comprehensive test cases including unit testing, integration testing, and end-to-end automation scripts, ensuring high-quality software delivery.

• Performed RESTful API testing using tools such as Fiddler, Swagger, Postman, Karma, and Jasmine to identify and resolve bugs, enhance functionality, and maintain code integrity.

Environment

• Compliance: Provincial clinical guidelines, HIPAA, PHIPA, Microsoft Compliance Manager, Azure Policy.

• DB Modeling: erwin Data Modeler, ER/Studio Data Architect, SQL Database Modeler.

• Data Access: Azure SQL, MongoDB/CosmosDB, T-SQL, SP, Views, Triggers, LINQ, Dapper, Advanced Query Tuning, Elastic Database Pools.

• Core Framework: .NET 8, C# 10, Angular, TS, JS, Node.js, NPM, Material Design, Bootstrap.

SE Health. Toronto, ON.

Senior Solution Architect

Senior Full Stack Developer

Apr 2021 - Sep 2023

Project: Azure ML Service Integration with Real-Time Analytics.

Objective:

Enhance real-time data processing and analytics capabilities through Azure services BI and machine learning integration to improve decision-making and operational efficiency.

Business Architecture

• Analyzed and evaluated alternative technology solutions to address business problems.

• Worked closely with data analysts, and business stakeholders to understand requirements and deliver tailored predictive analytics solutions.

• Aligned IT, clinical, and finance teams on a unified Azure architecture, integrating FHIR Claim resources for PCI-DSS-compliant billing analytics. Improved stakeholder buy-in by 40% via iterative demos.

Software Development Life Cycle and Documentation

• Drafted detailed technical specifications for system development, input/output sources, and the technical design phase.

• Adept at designing scalable and resilient cloud architectures, ensuring data integrity and security, and delivering comprehensive data solutions that meet business needs.

• Collaborated with Stakeholders: Worked closely with data scientists, analysts, and business stakeholders to understand requirements and deliver tailored predictive analytics solutions.

• Analyzed and evaluated alternative technology solutions to address business problems.

• Served the business needs of a company with virtual environment connectors across Canada, including different facilities and hospitals.

Re-architecting Legacy Systems and Migrating to Azure Services

• Facilitated the company’s transition to newer technologies and complex migration from on-premises to the public cloud.

• Defined and documented interfaces for manual-to-automated operations between new and existing systems.

Accessibility Compliance

• Ensured full compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA) and WCAG 2.0 AA standards in the development of web applications.

• Adhered to W3C's Web Content Accessibility Guidelines (WCAG) to create inclusive and accessible digital experiences for all users.

Solution and Functional Development

• Functional Requirement Analysis: Identified data flows and applied pseudonymization GDPR for non-essential PHI. Streamlined FHIR APIs to support SMART-on-FHIR apps while enforcing HIPAA-compliant authentication OAuth2, MFA.

• Cross-Functional Collaboration: Partnered with data architects to define FHIR profiles extending core resources for SE Health specific needs. Established PCI-DSS-aligned zones for payment data and FHIR-mediated pipelines for clinical data, ensuring separation of duties and least-privilege access.

Re-architecting Legacy Systems and Migrating to Azure Services

• Facilitated the company’s transition to newer technologies and complex migration from on-premises to the public cloud.

• Defined and documented interfaces for manual-to-automated operations between new and existing systems.

• Worked on the new large Medical System architecture for hospitals with Data Mesh, Clean Room Data/Data Security and Data. Management – data catalog, data map, and patterns based on Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, MS Entra ID with low-code or no-code concept.

Web App Development

• Engineered an HL7-compliant healthcare web application using ASP.NET Core 6 RESTful API, Web API2, Angular, SPA. implementing clean architecture with explicit layers:

• Presentation Layer: Web application base on WebAPI2 SPA Angular components with interactive Server for dynamic UI.

• Business Layer: CQRS with MediatR, Domain-Driven Design (DDD) aggregates, and model validation services.

• Data Access Layer: Azure SQL, MongoDB, Dapper micro-ORM with LINQ-to-SQL optimizations, Azure SQL stored procedures, and database views

• Implemented dependency injection using .NET Core, ServiceCollection with scoped/lifetime management for Azure resource connections.

• Migrated from Web API 2 to ASP.NET Core Minimal APIs, replaced legacy encryption with Azure Managed HSM.

• Developed high-performance T-SQL modules: Optimized stored procedures achieving 15ms response time under 10k concurrent users. Cross-database views for federated health data queries across 20+ facilities. SQL CLR triggers for real-time HL7 message validation. Secured PII data with Azure Key Vault-backed encryption and Always Encrypted columns.

Governance and Compliance Policy

• Microsoft Purview Data Map: Registered and scanned data sources to map the data estate and identify sensitive data.

• Ensured compliance with regulations using Azure Policy and Compliance Manager.

Debugging and Continuous Improvement

• Used Debugging Tools, Error Handling, Performance Optimization.

• Maintained clear and up-to-date documentation of known issues, troubleshooting steps, and resolutions.

Security

• Developed zero-trust authentication flow with Azure AD B2C.

• Implemented attribute-based encryption for sensitive health data.

• Reduced auth token latency by 40% via Redis cache.

• Established secure communication protocols and authentication mechanisms to safeguard data integrity and privacy.

• Integrated cloud-enabled applications with Microsoft Entra ID for seamless access management mobile devices to Microsoft Entra ID for device management and conditional access.

• Configured and maintained MFA, Microsoft Entra ID, Azure RBAC, Azure ABAC policies, ACLs, Shared Key, and SAS authorization and OAuth 2.0 API Octa authorization.

Monitoring, Alerts, and Logging

• Set up monitoring, alerts, and logging for Azure Services and ETL processes to track data movement, identify issues, and ensure timely resolution. Azure Monitor: Utilized Azure Monitor to collect and analyze telemetry data from Azure resources, applications, and services.

Infrastructure as Code

• Deployed and managed containerized applications using Azure Kubernetes Service (AKS), configured YAML files for Kubernetes resource definitions, and maintained high availability and scalability.

Testing

• Tested applications to ensure the highest level of quality based on automation scripts, designing test cases, UTest, Integration testing, and executing Test Cases for functionality.

• Manually tested REST web services based on Fiddler, Swagger, Postman, Karma, and Jasmine to resolve bugs & update code.

Debugging

• Used Debugging Tools, Error Handling, Performance Optimization.

Environment

• DB Modeling: erwin Data Modeler.

• Compliance: Provincial clinical guidelines, HIPAA, PHIPA.

• Cloud Services: Azure SQL Server, Azure SQL Managed Instance, Azure Functions, Service Bus, Managed Identities.

• Data Access: Azure SQL, MongoDB/CosmosDB, Dapper, T-SQL Dapper, SP, Views, Triggers, LINQ.

Core Framework: .NET 6, C# 9, Angular 15, TS, JS, Node.js, NPM, PrimeNG - Angular UI Component Library, Bootstrap.

The Canadian Heart Research Centre. Toronto, ON

Senior .NET Developer

Dec 2019 - Feb 2021

Project: Analytics Research Cloud i4C Dashboard:

Objective:

Enhance preventive care and chronic disease management by adhering to up-to-date clinical guidelines established by the province.

Key Features:

• Implemented an EMR-integrated tool (i4C Dashboard) designed to provide clinicians with a visual representation of provincial health indicators. Provided near real-time visualizations of EMR data through provincial health indicators.

• Created a variety of charts for visual analytics based on Azure SQL, MongoDB/CosmosDB, PowerBI. Supported tasks ranging from data collection to analysis, making it a comprehensive tool for healthcare professionals. Offered visual representation of health indicators, enabling clinicians to take action based on real-time data.

• Assisted in population health management by scanning for key indicators such as diabetes, obesity, immunizations, prescribed opioid use, and smoking status.

• Enabled clinicians to gain better insights into individual patients by using real-time EMR data to generate reports.

Project: Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases:

Objective:

Develop predictive models to enhance the detection of cardiovascular diseases using advanced machine learning techniques and digital image analysis.

Key Features:

• Employed PySpark, ML, and Python to extract daily data from multiple digital images for analyzing and building predictive models for heart pathologies in patients. Identified trends and compared population health within one clinic with other clinics using the dashboard.

• Supported practice management by providing data on chronic disease management, prevention, population screening, and preventative care bonuses.

Legacy Systems Migration

• Facilitated on-premises to cloud migration, defined interfaces, and proposed cost-optimized cloud-native architectures for healthcare systems and created new solution Analytics Research Cloud i4C Dashboard.

Governance and Compliance Policy

• Ensured compliance with Microsoft Azure and Canadian privacy laws using Azure Policy and Compliance Manager.

• Purview Atlas API: Implementing and integrating the Purview Atlas API to manage metadata and data lineage, ensuring comprehensive data governance.

• Automated GDPR/HIPAA/PHIPA compliance via Azure Policy, including, FHIR Patient resource pseudonymization GDPR in Purview, PHI encryption HIPAA for FHIR APIs using Azure Key Vault.

• Improved data accuracy by 20% by embedding FHIR profile validation in Azure Data Factory pipelines.

• Integrated Purview Atlas API to catalog FHIR Organization and Practitioner resources, achieving 99% data lineage visibility for DSARs.

• Improved data accuracy by 20% through validation and cleansing processes.

• Managed data governance with Microsoft Purview, ensuring data quality and compliance with regulatory requirements.

Security

• Implemented a security strategy using Azure Security Center. Ensured data security with encryption, access controls, and monitoring. Managed user identities and controlled access to applications, data, and resources using Microsoft Entra ID.

• Designed MFA and RBAC policies, and utilized Managed Identities for security. Applied and updated classifications and levels of sensitivity to all personal health information data elements in data sets landing on the Azure platform.

• Utilized OAuth 2.0's client credential with Okta API flow allows for secure server-to-server communication between an API client and an API server.

Azure DevOps CI and CD

• Deployed and Managed Containerized Applications: Utilized AKS to manage containerized applications, configured pipeline YAML files for Kubernetes resource definitions, and maintained high availability and scalability.

• Utilized Docker Hub: Stored and distributed Docker images to streamline the CI/CD pipeline.

Testing

• Tested applications to ensure the highest level of quality based on automation scripts, designing test cases, UTest, Integration testing, and executing Test Cases for functionality.

• Manually tested REST web services based on Fiddler, Swagger, Postman, Karma, and Jasmine to resolve bugs & update code.

Environment

• Azure SQL Server, Azure Synapse Analytics, Azure Service Bus AMQP, MongoDB/CosmosDB, Azure Events Hub, IoT Hub, Azure Log Analytics, Azure Storage, Azure Functions, Python, NET 6, ASP.NET, .NET Core, MVC, C# 7.

Regional municipality of Durham. Durham, ON

Senior Azure Cloud Architect

Oct 2018 - Nov 2019

Project: Community Dashboard for Durham Region.

Objective:

The Community Dashboard helps social workers, counselors, and advisers by offering tools for real-time data visualization, insights, and reports. This makes it easier for them to understand and respond to community needs effectively.

Enterprise Architecture Development

• Created and implemented architecture solutions using the TOGAF framework. Choose Technologies: Selected the right technologies for scalable and maintainable systems. Cloud Strategy: Developed and managed cloud strategies, especially for Azure Cloud. Collaborate with Stakeholders: Worked with stakeholders to understand and meet their needs.

Migration of Legacy Systems

• Analyzed and re-architected legacy systems for cloud migration. Developed Azure Services applications using event-driven architecture. Utilized Azure Service Bus, Event Hub, Logic Apps, and Functions for integration. Managed back-end systems with MS SQL, Azure SQL, Azure SQL, MongoDB/CosmosDB and Azure Storage.

• Predictive Analytics: Implemented ML models to predict trends in social service needs, such as mental health support, housing assistance, and educational outreach. Used Azure Machine Learning and Azure Databricks for developing and training predictive models. Integrated Azure Data Factory, accelerating ETL processes by 20% and reducing costs by 50%.

• Real-Time BI Reporting: Implemented Azure Synapse Analytics and Power BI integration for real-time BI reporting using data from various sources. Developed Power BI reports for real-time data visualization and analysis.

Azure Data Factory, Azure Synapse Analytics integration B2B

• Successfully implemented the integration of Azure Data Factory, Synapse Analytics, and Microsoft Power BI dashboards for real-time BI reporting for corporate clients, utilizing data from various sources.

• Developed PowerBI reports for real-time data visualization and analysis.

• The solution accelerated the ETL process by 20%, reduced costs by 50%, and improved system reliability by 30%.

Data Collection and Monitoring

• Utilized Azure Event Hubs for real-time analytics and monitoring, employing Azure Metrics Advisor for automated anomaly detection. Used Debugging Tools, Error Handling, Performance Optimization. Integrated with Azure Event Hubs to stream logs and metrics for real-time analytics and monitoring. Employed Azure Metrics Advisor to automate anomaly detection and root cause analysis for metrics.

Risk Mitigation Strategies

• Provided robust backup and recovery plans based on disaster recovery scenarios. Conducted thorough testing at each migration phase using Azure Migrate. Ensured compliance with regulations using Azure Policy and Compliance Manager.

Governance and Compliance Policy.

Security

• Implemented a security strategy using Azure

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