Mamatha Kashipathi
Sr Data Cloud Engineer or Sr Manager @Scotiabank
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WORK HISTORY
Sr Data Cloud Engineer or Sr Manager @Scotiabank
Toronto, ON, CA
Delivering intelligent, scalable solutions across Azure, AWS, GCP, and Snowflake to support enterprise data and AI initiatives. Architected Retrieval-Augmented Generation (RAG) pipelines and chatbot systems using LangChain, LangGraph, and vector databases like FAISS, ChromaDB, and Pinecone. Led development of AI-powered document processing workflows for extracting structured data from scanned documents, voice inputs, and financial reports.Built and automated data pipelines using Azure Data Factory, Databricks, and Snowflake to support ML model training, analytics, and regulatory reporting. Migrated enterprise databases (Oracle to Snowflake), optimized performance, and enabled AI-enhanced analytics. Spearheaded cost-saving automation projects, including full replacement of legacy reporting systems, resulting in significant operational savingsExtensive hands-on experience with cloud-native data platforms and AI frameworks across Azure, AWS, GCP, and Snowflake. Skilled in building scalable data pipelines and intelligent applications using tools like Azure Data Factory, Synapse Analytics, Databricks, Snowflake, BigQuery, DBT, and S3. Proficient in SQL Server, Oracle, DB2, PostgreSQL, and modern programming languages including Python, PySpark, and Shell scripting.Deep expertise in Generative AI and LLM integration, leveraging frameworks such as LangChain, LangGraph, Autogen, LlamaIndex, and Hugging Face. Architected advanced Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, ChromaDB, Pinecone, and integrated models including OpenAI GPT, Google Gemini, LLaMA, Falcon, and Mistral for enterprise-grade semantic search and intelligent automation.
EDUCATION
Karnataka State Open University
Msc. IT, Information Science
Microsoft Certified Professional
MCPD, MCPD - Enterprise Application Developer
SKILLS
ABOUT MAMATHA KASHIPATHI
With over 20 years of experience architecting secure, scalable, and cloud-native data solutions, I specialize in transforming enterprise platforms across Azure, AWS, GCP, and Snowflake. My career spans the full spectrum of data engineering—from legacy modernization to cutting-edge AI integration—delivering resilient, high-performance systems that drive intelligent automation and actionable insights.I bring deep expertise in database technologies (SQL Server, Oracle, DB2, PostgreSQL), modern analytics platforms (Databricks, Synapse, Redshift, BigQuery), and pipeline orchestration tools (Azure Data Factory, Airflow, DBT). My work consistently bridges the gap between data infrastructure and AI innovation.In parallel, I lead enterprise adoption of Generative AI and LLMs, with hands-on experience in LangChain, LangGraph, Autogen, Google ADK, and LlamaIndex. I’ve architected Retrieval-Augmented Generation (RAG) pipelines and multi-agent chatbot systems using FAISS, ChromaDB, Pinecone, and PostgreSQL—enabling semantic search, contextual enrichment, and intelligent document processing at scale.Whether migrating mission-critical databases, optimizing cross-platform performance, or deploying AI-powered solutions, I’m known for delivering robust architectures that unlock data-driven transformation across the enterprise.Passionate about data-driven innovation, I thrive in cross-functional teams and agile environments, always focused on building resilient, secure, and future-ready data platforms.
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