Akshat Singhal

Cloud Data Engineer — Microsoft Azure

Talent

HyderabadMember since June 7, 2026

Microsoft AzureAzure Data FactoryAzure Synapse AnalyticsAzure Event HubsAzure SQLAzure DatabricksData IntegrationData WarehousingAzure OpenAICognitive ServicesGitHub CopilotPythonSQL

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Microsoft AzureAzure Data FactoryAzure Synapse AnalyticsAzure Event HubsAzure SQL

About

Cloud-focused Data Engineer with 1.5 years of experience designing and operating data infrastructure on Microsoft Azure building ETL/ELT pipelines (Azure Data Factory, Databricks), cloud data warehouses (Azure Synapse Analytics, Azure SQL), and real-time streaming architectures (Azure Event Hubs). Experienced migrating and integrating data from heterogeneous, multi-source systems into governed, scalable cloud environments, and enabling business-facing analytics via Power BI on top of cloud data platforms. Azure AI Engineer Associate (AI-102) certified, with hands-on exposure to Azure OpenAI and Cognitive Services.

Strong foundation in cloud architecture, distributed data systems, and cross-functional delivery within Agile/Scrum teams.

Experience

Business & Technology Analyst – Cloud Data Engineering & BI at Capgemini (2025-02 – Present)

Built and maintained cloud ETL workflows using Azure Data Factory and Databricks to ingest and transform data from 5+ heterogeneous sources (operational systems, CRM-equivalent platforms, cloud pipelines), reducing data inconsistencies by ~25% across 50,000+ records.
Designed a cloud data warehousing layer on Azure Synapse Analytics / Azure SQL to support downstream BI consumption, cutting stakeholder time-to-insight by ~35%.
Developed 15+ Power BI dashboards on top of Azure-hosted data sources to track operational KPIs and workflow metrics, enabling leadership to detect deviations 40% faster.
Diagnosed demand-supply mismatches and fulfillment bottlenecks from operational and supply chain data, recommending process optimizations that cut manual effort by ~30%.
Integrated Azure OpenAI and GitHub Copilot into daily workflows, accelerating Python/SQL scripting and ETL debugging by ~20%.
Collaborated with 4+ cross-functional teams (Engineering, Product, Operations, Marketing) to gather requirements and translate cloud analytics findings into stakeholder-ready narratives; authored 10+ PRDs and user stories.
Delivered within an Agile/Scrum framework while upskilling in Azure, Databricks, and emerging AI tooling.