Teams at Brillio

Design, build, and maintain scalable ETL/ELT pipelines and Snowflake data warehouse solutions using dbt, SQL, and Python. Develop data models, transformations, stored procedures, and database objects; optimize performance; implement ingestion, validation, governance, and data quality practices; and troubleshoot data issues. Collaborate with stakeholders and engineering teams while contributing to testing, deployment, code reviews, documentation, and analytics enablement.

Lead end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, including strategy, execution, validation, cutover, tuning, and optimization. Build and optimize ETL pipelines with Azure Data Factory and Databricks; design modern data warehouses using SQL Server, ADLS Gen2, Cosmos DB, and Blob Storage. Ensure data governance, lineage, security, compliance, monitoring, and integrity using Purview and Azure Monitor. Document architecture and best practices while collaborating with cross-functional teams.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.