Thakhi Baba

Senior Cloud & Data Architect with 16+ years of IT experience, including 1+ year of hands-on Generative AI development and 7+ years in Azure Data Engineering. Experienced in building enterprise AI solutions using Azure OpenAI, LangChain, LangGraph, RAG, AI Agents, MCP, Vector Databases, Prompt Engineering, and LLM orchestration. Strong expertise in designing cloud-scale data platforms and ETL/ELT pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse, PySpark, Python, SQL, and Delta Lake.

Skilled in integrating GenAI with enterprise data platforms to deliver intelligent AI applications, backed by expertise in CI/CD, DevOps, data governance, and cloud architecture.

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.

Bachelor of Technology in E.C.E. – Jawaharlal Nehru Technological University