Suraj Jeswara

I’m a technology professional with 9+ years of experience across Data Engineering, Cloud Platforms, Backend Development, Enterprise Integrations, APIs, Full-Stack Development, and AI-assisted software engineering.

My core expertise is in building scalable data and integration platforms using Azure Data Factory, Databricks, PySpark, SQL, Delta Lake, ADLS Gen2, Azure Functions, and Microsoft Dataverse/Dynamics 365. I’ve worked on end-to-end data migration, ETL/ELT, API integration, data quality, reconciliation, incremental processing, and production-grade cloud workflows.

At Capgemini, I have worked on enterprise migration and integration programs involving Dynamics 365, Dataverse, Azure Functions, REST/OData APIs, SQL, and ADF. I have also contributed to API-based solutions capable of processing thousands of invoices per day and designed solutions for complex file and data integrations across enterprise systems.

Previously at KPMG, I worked on an Azure-based analytics platform supporting 1,200+ stores across eight UK regions. My work included ADF ingestion frameworks, Databricks/PySpark transformations, reusable ETL components, data modeling, and a Cube.js semantic/API layer used by React-based analytics applications.

My background also includes backend and full-stack development using Node.js, Laravel/PHP, React, JavaScript, MySQL, REST APIs, and related technologies, which helps me approach data problems from a broader software-engineering perspective.

I’m particularly interested in Data Platforms, Distributed Data Processing, Cloud Architecture, Platform Engineering, Backend Systems, AI/GenAI, Agentic Development, and developer productivity. I actively use tools such as GitHub Copilot, Codex, and ChatGPT to accelerate research, coding, debugging, testing, and solution design while keeping strong engineering review and validation practices.

I’m looking to connect with teams solving complex, high-impact engineering problems where I can contribute both hands-on and at the architecture level. If you’re building modern data platforms, cloud-native systems, enterprise integrations, or AI-enabled engineering solutions and need someone who can bridge data, backend, cloud, and platform thinking, I’d be very interested in a conversation.