Aashish Jain

About Aashish Jain

Data & AI Consultant with 12+ years of experience, including 3+ years at Microsoft, delivering scalable cloud-native solutions for global enterprise clients. I specialize in Azure Data & AI, Big Data Engineering, and advanced analytics, helping organizations unlock insights and drive transformation.Core ExpertiseArchitecting and implementing Big Data, Analytics, and IoT solutions using Azure services: Azure Synapse, Data Factory, Databricks, HDInsight, Azure SQL, ADLS, Event Hub, Stream Analytics, Azure ML Studio.Strong background in data architecture, logical and physical database design, data modeling, and performance optimization.Hands-on experience with DevOps CI/CD, MLOps, and modern data science workflows using Python, Kubeflow, Iguazio, Kubernetes.Key AchievementsLed and contributed to high-impact projects:Vodafone DCC – Conversational AI and billing API designPetronas (HSE & SPARKLE) – Safety and analytics platformMercedes-Benz (CRM Migration) – Data migration and integrationGAP (FinOps) – Financial operations optimizationShell, UBS, J&J (MVPs) – Data modernization and AI enablementARRP – Architecture and video presentation initiativeActive contributor to Microsoft initiatives like DataQuest 3.0 and Beats, mentoring peers and driving learning journeys in Azure Data Fundamentals, Synapse, Power BI, Cognitive Services.CertificationsDP-900 | DP-203 | AI-100 | AZ-900Specialties (Current Role)Cloud Platforms: Microsoft Azure (Synapse Analytics, Data Factory, Databricks, HDInsight, Azure SQL, ADLS, Event Hub, Stream Analytics, Azure ML Studio)Data Engineering & Analytics: Big Data Architecture, Data Pipelines, ETL/ELT, Real-Time Streaming, IoT SolutionsData Science & AI: Machine Learning, Cognitive Services, MLOps (Kubeflow, Azure ML), Python-based AI workflowsDevOps & Automation: CI/CD for Data Solutions, Infrastructure as Code, Azure DevOpsVisualization & BI: Power BI, Analysis Services, Advanced ReportingProgramming & Scripting: Python, T-SQL, DAXArchitecture & Governance: Data Modeling, Security & Compliance, Performance Optimization Infrastructure-as-Code experience (Terraform/Bicep) preferredExperience with ML tooling (MLflow/model registries), vector database operations, prompt/version management, and drift monitoring signals for LLM systems.(No specific mention)

Experience

1. Senior Consultant

   Microsoft

   Mar 2023 — Present · Bengaluru, IN

   Delivering enterprise-scale Data & AI solutions leveraging Microsoft Azure to enable digital transformation for global clients. My role focuses on designing and implementing cloud-native architectures, optimizing data pipelines, and driving actionable insights through advanced analytics and AI.Key Responsibilities & Achievements:Architect and implement Big Data, Analytics, and IoT solutions using Azure services: Synapse Analytics, Data Factory, Databricks, HDInsight, Azure SQL, ADLS, Event Hub, Stream Analytics, Azure ML Studio.Lead end-to-end client engagements from discovery to production, ensuring measurable business impact.Delivered high-impact projects:Vodafone DCC – Conversational AI and billing API designPetronas (HSE & SPARKLE) – Safety and analytics platformMercedes-Benz (CRM Migration) – Data migration and integrationGAP (FinOps) – Financial operations optimizationShell, UBS, J&J (MVPs) – Data modernization and AI enablementActive contributor to Microsoft initiatives like DataQuest 3.0 and Beats, mentoring peers and enabling learning journeys in Azure Data Fundamentals, Synapse, Power BI, Cognitive Services.Certified in DP-900, DP-203, AI-100, AZ-900, with strong expertise in data architecture, MLOps, and DevOps CI/CD.Specialties:Azure Data & AI | Big Data Architecture | Data Engineering | Machine Learning | MLOps | Power BI | Python | T-SQL | Data Modeling | Performance Optimization

Education

• Gyan Ganga Inst. of Technology & Sciences,Jabalpur

  BE, Information Technology

  2007 — 2011