Generative AI & Cloud Data Architect at Endava Solutions, IN (for Client: FISERV) (2025-01 – Present)
Spearhead the design and development of scalable cloud-native data platforms and data engineering accelerators, enabling efficient data ingestion, transformation, and analytics while supporting enterprise cloud adoption.
- Designed and implemented enterprise RAG solutions using Azure OpenAI, LangChain, Azure AI Search, and Vector Databases.
- Developed AI-powered assistants LLMs, Prompt Engineering, AI Agents, Function Calling, and MCP to automate business workflows.
- Built document ingestion pipelines involving document parsing, chunking, metadata extraction, embeddings generation, and vector indexing.
- Integrated enterprise knowledge sources including SharePoint, Azure Blob Storage, SQL databases, and PDFs into AI-powered search platforms.
- Designed and implemented end-to-end data engineering solutions using Azure Data Factory, Azure Databricks, PySpark, Python, SQL etc.
- Developed scalable batch and streaming data pipelines using Azure Event Hub, Stream Analytics, ADLS Gen2, and Blob Storage.
Cloud Data Architect at Endava Solutions, IN (for Client: FISERV) (2020-08 – 2024-12)
Spearhead the design and development of scalable cloud-native data platforms and data engineering accelerators, enabling efficient data ingestion, transformation, and analytics while supporting enterprise cloud adoption.
- Designed and implemented end-to-end data engineering solutions using ADF, Databricks, PySpark, Python, SQL, and Snowflake.
- Designed and implemented scalable cloud-native data platforms using Azure Data Factory, Azure Databricks, Azure Synapse Analytics.
- Built metadata-driven ETL/ELT frameworks for ingesting structured, semi-structured, and unstructured enterprise data.
- Developed optimized PySpark transformations following Medallion Architecture (Bronze, Silver, Gold) and Delta Lake best practices.
- Implemented incremental loading, Change Data Capture (CDC), partitioning, caching, and Spark performance optimization techniques.
- Designed enterprise Lakehouse architectures supporting large-scale analytics and AI-ready datasets.
- Built scalable batch and streaming pipelines using Azure Event Hub, Stream Analytics, ADLS Gen2, and Blob Storage.
Azure Data Engineer at ENT Matrix, USA (for Client: Aptiv, Detroit, USA) (2019-07 – 2020-06)
Directed the comprehensive design and implementation of Azure-based cloud solutions, transitioning services from on-premise and establishing high-availability deployment models.
- Designed and developed scalable ETL/ELT pipelines using ADF, Azure Databricks, and PySpark for data ingestion and transformation.
- Built metadata-driven data ingestion frameworks to automate loading from databases, APIs, flat files, and cloud storage into Azure Data Lake.
- Developed PySpark and SQL transformations following Medallion Architecture (Bronze, Silver, Gold) and Delta Lake best practices.
- Implemented incremental data loading, Change Data Capture (CDC), and watermarking strategies to improve pipeline performance.
- Designed and maintained enterprise data models and dimensional schemas to support business intelligence and analytical reporting.
- Built reusable, parameterized Azure Data Factory pipelines with dynamic datasets, linked services, and triggers for scalable orchestration.
Application Developer at DXC Technology, USA (for Client: Kaiser Permanente, Colorado, USA) (2018-03 – 2019-06)
Engineered dynamic, feature-rich web pages utilizing MVC 3.0, C#, and Entity Framework, applying scalable design patterns for robust business logic.
- Effectively oversaw projects through all phases of SDLC and agile methodologies, ensuring seamless task completion and iterative development.
- Formulated advanced strategies for the data access layer, optimizing data handling and system performance.
- Collaborated with development teams to enforce DevOps best practices and release governance.
- Reduced deployment time through pipeline optimization and parallel execution strategies.
Technical Lead at DXC Technology, USA (for Client: Campbell Soup Company, New Jersey, USA) (2016-04 – 2018-02)
Directed the design and development of web architectures following MVC patterns, incorporating custom controller behaviours to enhance functionality.
- Optimized pagination performance by leveraging HTML Helper MVC grid and jQuery, accelerating data retrieval and rendering with JSON.
- Developed custom search and sorting functionalities, utilizing asynchronous JavaScript calls for faster data processing.
- Architected WCF services using SOAP and HTTP protocols to ensure reliable and scalable service integration..NET/SharePoint Consultant at BOSCH, India (for Client: Microsoft, IN) (2015-05 – 2016-02)
Spearheaded the installation and deployment of DEV/UAT/PROD SharePoint 2013 environments, establishing a robust infrastructure for organizational workflows.
- Led pre- and post-migration efforts from SharePoint 2010 to 2013, showcasing expertise in migration planning and risk mitigation.
- Managed SharePoint environments using Central Administration and PowerShell, ensuring optimal performance and efficient operations.
Senior Developer at Hewlett Packard, IN (for Client: Eli Lilly) (2010-10 – 2015-01)
Designed and implemented collaborative features in SharePoint Server 2010 using SharePoint Designer 2010, developing Sites, Document Libraries, and custom Master Pages.
- Developed and deployed XML Web Services (WCF) using Visual Studio and C#.NET, integrating them into web applications for robust, data-driven solutions.
- Delivered core functionality by leveraging the ASP.NET MVC framework with C#.NET and ADO.NET.
System Analyst at Tech Mahindra, IN (for Client: General Motors) (2010-03 – 2010-10)
Developed dynamic, data-driven web applications using C#, ASP.NET, and SQL Server 2005, delivering robust backend functionality and seamless user interactions.
- Developed and maintained.NET APIs and services for enterprise data integration and automation.
- Built C#/.NET ETL solutions for data extraction, transformation, validation, and loading processes.
