• 13 years of IT industry experience with expertise in Data Warehousing, Data Science Platform, Cloud Technologies and AI.• Developed ETL pipelines to extract data from various business application data sources, transform, normalize and load into RDS (Aurora) ,Athena , AWS Glue, Python Notebook, Lambda and S3 buckets• Extracting data from various SQL environments to data models by pre-processing, integration, and analysis and data visualization using AWS RDS, Redshift and Glue ETL for pre-processing.• Designed and implemented data ingestion system using tools like Langflow and LangChain to integrate documents into vector database (DataStax Astra) for Retrieval-Augmented Generation (RAG) architecture.• Leveraged Langflow, LangChain, prompt engineering techniques and RAG to fine-tune LLM models, ensuring precise and relevant AI-generated content that aligns customer inquiries, increasing retention and satisfaction.• With expertise in conceptualizing and implementing data pipelines, responsible for converting data into informational insights thus helping the organization to make data-driven decisions.☑️ Key Competencies:➡️ Designing data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.➡️ Extracting data from various SQL environments to data models by pre-processing, integration, and analysis using AWS RDS, Redshift and Glue ETL for pre-processing.➡️ Created prototypes using Langflow to provide user ability to query unstructured documents like PDFs, excel documents that automated query-based thread generation publishing, boosting customer engagement by 80% using Langflow and RAG☑️ Technologies: ETL : Informatica, Teradata, PL/SQL Databases : Oracle, Teradata, PostgreSQL Cloud Platforms : AWS ((S3, Lambda, Glue, DMS, EFS, RDS (Athena, Aurora PostgreSQL )) Scripting Language : Python Source Control : Bitbucket, Jenkins for CI/CD, XL- Deploy/Release Scheduling Tools : Airflow, AutoSys and Cron AI Tools : RAG,LangChain, Langflow,Langsmith,Vector database ☑️ Key Achievements:External Certifications: • AWS Certified Solutions Architect – Associate (SAA-C02)• AWS Certified Data Analytics Specialty (DAS-C01)• AWS Certified Database - Specialty (DBS-C01)• AZ- 900 Microsoft Azure Fundamentals• AZ-300 Azure Architect Technologies• AZ-400 Designing and Implementing Microsoft DevOps Solutions• 98-381 Introduction to Python Programming• SnowPro Core (COF-C02)• GenAI - L400