Hi, I’m
Debasish Ghosh
Jersey City,NJ
Summary
Strategic and results-driven Data & AI Solution Director with over 18 years of experience in designing and implementing enterprise-grade data and AI solutions that drive significant business transformation. Expertise includes Enterprise Data Architecture, LLM-powered AI, and cloud-native platforms, with a strong focus on addressing real-world business challenges across the Banking, Finance, Insurance, and Utility sectors. Proven track record in architecting and delivering business-centric data ecosystems that facilitate impactful use cases such as customer intelligence, fraud detection, risk analytics, intelligent document processing, and multilingual conversational AI. Recognized as a trusted advisor to business and technology leaders, skilled in aligning data strategy with enterprise objectives while enabling Generative AI adoption, data governance, and large-scale application modernization.
Overview
18
years of professional experience
5
Certification
Skills
- Architectural solutions in presales
- Designed comprehensive data integration frameworks
- Cloud network management
- Snowflake Cortex AI/ML
- Cloud storage solutions: Azure Blob Storage, AWS S3
- Document intelligence solutions - Azure AI
- Data warehouse - Snowflake
- Custom ETL solutions leveraging cloud technologies
- Multilingual conversational AI and Q&A
- Power Platform - Power Automation
- N8N, Crew AI, Custom Metrics tools
- System Design
Accomplishments
- Led technical discovery and solution design for enterprise AI initiatives, resulting in over $25M in closed deals across financial services, healthcare, and retail sectors.
- Architected scalable AI platforms integrating traditional ML and generative AI models, tailored to client-specific use cases such as fraud detection, personalized marketing, and document summarization.
- Designed and presented high-impact demos and POCs using tools like Azure ML, Databricks, and Hugging Face, accelerating client buy-in and shortening sales cycles by 30%.
- Collaborated with cross-functional teams (sales, product, engineering) to translate business requirements into technical blueprints, ensuring alignment with client goals and compliance standards.
- Enabled multi-cloud deployments (AWS, Azure, GCP) with secure data pipelines and federated governance, supporting decentralized AI workloads across 5+ global regions.
- Advised C-level stakeholders on AI strategy, ROI modeling, and implementation roadmaps, positioning the company as a trusted innovation partner.
- Contributed to RFP responses and technical proposals, increasing win rates by 40% through differentiated solutioning and clear value articulation.
Timeline
Solution Director - Presales Architect
HCLTech (USA)
05.2024 - Current
Business Data Architect
TCS (USA)
02.2017 - 04.2024
Data Architect
TCS (INDIA)
04.2014 - 01.2017
Technical Lead
Tech Mahindra, INDIA
01.2013 - 01.2014
Tech Lead/Developer
Cognizant, INDIA
01.2011 - 01.2013
Lead Engineer
HCL Technologies, INDIA
01.2007 - 01.2011
West Bengal University of Technology
Bachelor of Technology from Computer Science & Engineering
Work History
HCLTech (USA)
Solution Director - Presales Architect
05.2024 - Current
Job overview
- Architected scalable, secure data platforms, and governance frameworks across AWS, Azure, and Snowflake to support enterprise-wide analytics and AI initiatives.
- Defined business-centric data architectures to support key initiatives, such as customer 360, sales performance optimization, and operational efficiency across cloud platforms.
- Enabled cross-cloud interoperability using Apache Iceberg and Delta Sharing for seamless data exchange between Snowflake, Databricks, and the AWS platform.
- Led cost optimization initiatives by implementing storage tiering, query pruning, and workload-aware compute provisioning across cloud data warehouses.
- Collaborated with business stakeholders to translate analytical needs into scalable data products, driving measurable impact in marketing, finance, and operations.
- Let me know if you'd like these tailored for a resume, LinkedIn profile, or presentation deck. I can also help you highlight specific accomplishments or metrics.
- Collaborated with business stakeholders to translate analytical and reporting needs into scalable data models and pipelines, enabling real-time insights, and self-service BI capabilities.
- Led cloud modernization of legacy systems using AWS and Snowflake, improving performance and cost efficiency.
- Designed data security architectures to redact PII/SII, and protect PCI data using encryption, IAM, and cloud-native controls.
- Implemented data governance and lineage tracking across multi-cloud environments to ensure compliance and data quality.
- Delivered open-source-based GenAI/LLM solutions with integrated MLOps pipelines for monitoring and deployment.
- Embedded LLMs (OpenAI, Azure OpenAI) into enterprise workflows for intelligent automation and contextual Q&A.
- Designed AI-driven solutions for customer analytics, fraud detection, and demand forecasting, aligned with business goals.
- Built and deployed end-to-end ML pipelines using MLflow, Airflow, and Docker, with model monitoring and drift detection.
- Optimized query performance and cost using partitioning, clustering, and materialized views.
- Implemented secure data access and governance policies in BigQuery to ensure compliance with PII, PCI standards.
TCS (USA)
Business Data Architect
02.2017 - 04.2024
Job overview
- Executed solutions on a large-scale AI and data modernization program across nine business units, aligning LLM initiatives with enterprise goals, and driving measurable business outcomes.
- Led strategic planning to align AI/ML, data, and IT strategies with business objectives, enabling cost optimization, digital transformation, and improved decision-making.
- Partnered with business leaders to identify high-impact use cases, such as customer churn prediction, intelligent document processing, and supply chain optimization.
- Designed low-level architectures for complex system integrations, enabling seamless data flow across upstream, downstream applications, and hybrid cloud environments.
- Delivered a cloud transformation program that reduced infrastructure costs by 27–30% while integrating GenAI capabilities into legacy systems for enhanced automation.
- Architected enterprise microservices and API-based systems for scalable LLM deployment, using loosely coupled design patterns and event-driven architectures.
- Built reusable ETL frameworks using AWS Glue, Step Functions, and PySpark with model-controller design patterns; deployed via CloudFormation and Jenkins.
- Implemented serverless GenAI pipelines using AWS Lambda, Python, and event-driven triggers, achieving approximately 30% infrastructure savings and a faster time-to-market.
- Engineered data platforms using Snowflake, PySpark, AWS Glue, S3, Lambda, and Step Functions to support scalable LLM data pipelines, and real-time analytics.
- Developed GenAI prototypes using LangChain and Python, and deployed ML models via Amazon SageMaker for use cases such as anomaly detection, semantic search, and intelligent assistants.
- Collaborated with business and technical directors to prioritize AI investments, improving project success rates by 20%, and reducing delivery timelines by approximately 15%.
TCS (INDIA)
Data Architect
04.2014 - 01.2017
Job overview
- Directed foundational data and AI/ML engineering and model lifecycle orchestration, including experimentation, deployment, monitoring, and governance for scalable enterprise use cases.
- Engineered data pipelines to support business-critical use cases, such as customer segmentation, risk scoring, and operational forecasting.
- Extracted, transformed, and cleaned large datasets from diverse sources (SQL, APIs, CSVs) to enable analytics and model development.
- Designed data models and schemas aligned with business KPIs, enabling efficient reporting and predictive analytics across departments.
- Identified patterns, trends, and anomalies using statistical summaries and visualizations (e.g., Seaborn, Matplotlib) to support data-driven decision-making.
- Performed feature engineering to enhance model accuracy and interpretability, improving outcomes in classification and regression tasks.
- Built and tuned predictive models using machine learning algorithms (e.g., regression, classification, clustering).
- Assessed model performance using cross-validation and metrics such as accuracy, precision, recall, and AUC, to ensure reliability in production.
- Deployed models via Flask APIs and cloud platforms (AWS, Azure), integrating them into business applications, and monitoring performance in real time.
Tech Mahindra, INDIA
Technical Lead
01.2013 - 01.2014
Job overview
- Worked as hands-on Python and .NET-based Azure and Microsoft SharePoint solutions.
- Azure Cloud Architecting: Designed and deployed scalable, secure solutions using Azure services (App Services, Functions, Logic Apps, Key Vault, Azure DevOps).
- SharePoint Engineering: Delivered custom SharePoint Online/On-Prem solutions, including SPFx web parts, Power Automate workflows, and integration with Microsoft Graph.
- Solution Design & Architecture: Defined technical architecture, data flow, and integration patterns for cloud-native and hybrid enterprise applications.
- DevOps & CI/CD: Implemented CI/CD pipelines using Azure DevOps and GitHub Actions for automated builds, testing, and deployments.
Cognizant, INDIA
Tech Lead/Developer
01.2011 - 01.2013
Job overview
- DOMAIN: Banking and Finance domain.
- Developed scalable and maintainable applications using Python frameworks such as Flask, Django, and FastAPI.
- Designed and implemented RESTful APIs, and integrated third-party services and internal systems.
- Written cleanly, efficiently, and with reusable code, following best practices and coding standards.
- Automated data workflows, ETL processes, and system tasks using Python scripting.
- Processed and analyzed structured and unstructured data using Pandas, NumPy, and SQL.
- Collaborated with front-end developers, data engineers, and product teams to deliver end-to-end solutions.
HCL Technologies, INDIA
Lead Engineer
01.2007 - 01.2011
Job overview
- DOMAIN: Banking and Finance domain.
- Designed and developed on-premises applications using N-tier architecture and a service-driven framework.
- Developed backend services and APIs using Flask and Django for scalable web applications.
- Written automation scripts to streamline data processing and system operations.
Education
West Bengal University of TechnologyIndia
Bachelor of Technology from Computer Science & Engineering
01.2007
Certification
Dataiku AI ML practioner
AWS Data Analytics
AWS Solution Architect - Associate
Databricks Gen AI
Azure Fundamentals
Scrum PSM 1
Languages
English
Full Professional