Srinjoy Nath

Enterprise Data & AI Solutions Architect | GenAI & RAG Specialist | Pre-Sales Data and AI Lead

Amstelveen, NL.

About

Highly accomplished Enterprise Data & AI Solutions Architect with over 20 years of experience, specializing in Generative AI (GenAI), RAG frameworks, Agentic AI, and MLOps to drive substantial business value. Proven expert in leading multi-million-dollar Pre-Sales initiatives and architecting modern data patterns, including Data Mesh, Data Fabric, and Databricks Lakehouse, across global financial institutions like CitiBank and ABN AMRO. Adept at transforming complex data landscapes, ensuring high ROI, and establishing robust AI governance and data management strategies.

Work

ACCENTURE

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Enterprise Data & AI Solutions Architect / Pre-Sales Lead

Amstelveen, North Holland, Netherlands

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Summary

Led strategic data and AI solutioning, orchestrating multi-million-euro digital transformations and pioneering next-gen AI architectures for global financial clients.

Highlights

Led end-to-end Pre-Sales lifecycle, authoring multi-million-euro Statements of Work (SOWs) and managing RFP/Bid processes for digital transformations.

Architected and implemented cutting-edge Generative AI (GenAI) and RAG frameworks using LangChain, LlamaIndex, Haystack, and Azure OpenAI.

Pioneered AI Factory setups, deploying Agentic AI, Co-pilots, and Semantic Knowledge Graphs to enhance enterprise automation and MLOps lifecycles.

Served as Subject Matter Expert in Data Mesh, Data Fabric, and Databricks Lakehouse architectures, enabling high-scale data democratization and cloud modernization.

Specialized in Master Data Management (MDM), Data Governance, Data Cataloging (Collibra/Purview), and Data Lineage for highly regulated financial sectors.

Architected high-throughput real-time data pipelines using Apache Spark, Databricks, and Kafka, implementing DataOps for enhanced observability and quality.

MINDTREE / UNILEVER

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Technical Architect / Delivery Project Manager

N/A, N/A, India

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Summary

Directed the "Livewire" program, migrating global data into a unified Azure Data Lake/Synapse ecosystem and designing real-time ingestion solutions.

Highlights

Led the "Livewire" program, successfully migrating fragmented global data into a unified Azure Data Lake/Synapse ecosystem.

Authored comprehensive high-level and low-level technical designs for real-time data ingestion and transformation using Azure Databricks and Polybase.

WIPRO / CITIBANK RETAIL

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Solution Architect / Technical Lead

N/A, Texas, US

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Summary

Spearheaded the architectural design for an Enterprise Data Warehouse, consolidating retail deposit data across 16 countries for CitiBank.

Highlights

Spearheaded architecture for an Enterprise Data Warehouse, consolidating retail deposit data across 16 countries for CitiBank.

Successfully executed a proof-of-concept for migrating legacy on-premise Oracle workloads to AWS RDS.

Managed complex logical and physical data modeling (Star/Snowflake schemas) using ER Studio.

RS SOFTWARE / VISA

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Technical Analyst / BI Project Lead

N/A, California, US

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Summary

Directed global teams on database migrations and product launches within the payment processing domain for Visa.

Highlights

Directed global teams in successfully executing database migrations and product launches within the payment processing domain.

COGNIZANT / LLOYDS BANKING GROUP

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BI Technical Lead / Data Modeler

N/A, N/A, India

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Summary

Architected data integration strategies to support the HBOS-Lloyds banking merger.

Highlights

Architected critical data integration strategies to facilitate the HBOS-Lloyds banking merger.

TCS / MAHINDRA SATYAM

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Designer / Lead ETL Developer

N/A, N/A, India

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Summary

Developed and optimized ETL processes, performance tuning, and data design for major clients like Barclays and Walgreens.

Highlights

Developed and optimized ETL processes, enhancing performance tuning and data design for key clients including Barclays and Walgreens.

Education

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Master of Business Administration (MBA) Data Science Grade: In Progress

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Bachelor of Technology Computer Science & Engineering Grade:

Certificates

Certified Data Architect

MIT Professional Education

Azure Data Engineer Associate

Microsoft Certified

Generative AI Fundamentals & Lakehouse Fundamentals

Databricks Certified

Data and AI Solution Architect

Cloud Architect Professional

Generative AI Leader

Google Cloud Certified

Skills

Generative AI & Machine Learning

Generative AI (GenAI), RAG (Retrieval-Augmented Generation), Agentic AI, LLM Orchestration (LangChain, LlamaIndex), MLOps, Responsible AI, Azure OpenAI, GPT-4, Llama, Hugging Face, MLflow, TensorFlow, Python, PySpark.

Data Architecture & Engineering

Data Mesh, Data Fabric, Databricks Lakehouse, Cloud Data Warehousing (Azure Synapse, Snowflake, AWS Redshift), Apache Spark, Kafka, ADF, Talend, Ab Initio, Informatica, DataOps, CI/CD Pipelines.

Cloud Platforms

Microsoft Azure (Synapse, Purview, Fabric), Databricks, AWS (S3, Redshift), Snowflake, GCP.

Data Management & Governance

Master Data Management (MDM), Data Governance (Collibra, Purview), Data Quality, Metadata Management, Informatica IDMC, Profisee, Reltio, Data Lineage.

Business Intelligence & Data Modeling

Power BI, Tableau, QlikView, Alteryx, ER Studio, Erwin, SQL Server, Oracle, Teradata, MongoDB, Cosmos DB, Vector Databases (Pinecone, Milvus).

Strategic & Project Management

Pre-Sales Leadership, RFP/Bid Management, Statement of Work (SOW) Creation, Cloud Advisory, Global Delivery Governance, Project Governance, Vendor Management.