Sai Praneeth Bangarampally
Data Engineer
- Role
- Azure Data Engineer Data Analyst Gen Ai Engineer at Equifax
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Sai Praneeth Bangarampally
Microsoft Dynamics 365 and Power Platform Developer with 5+ years of proven IT experience…
Experience
Azure Data Engineer Data Analyst Gen Ai Engineer
Jun 2023 — Present · Austin, TX, US
Designed and developed scalable ETL/ELT pipelines across Azure Data Factory, Databricks, and Snowflake, integrating structured and unstructured data for analytics and AI workloads.• Built and optimized data warehouses in Snowflake and Microsoft Fabric Lakehouse, leveraging Delta Lake, OneLake, and Power BI Direct Lake for unified data access and near real-time reporting.• Developed AI-ready data pipelines using LangChain, LlamaIndex, and OpenAI API to enable Retrieval-Augmented Generation (RAG) and metadata search from enterprise datasets.• Implemented orchestration workflows using Apache Airflow, DBT, and Fabric Data Pipelines for automation, dependency management, and metadata tracking.• Created and managed Snowflake objects using Terraform and CI/CD pipelines in Azure DevOps for automated deployment.• Developed and deployed APIs and microservices using FastAPI, Python, Docker, and Kubernetes to support data automation and Gen AI integration.• Implemented MLflow and Weights & Biases (W&B) for experiment tracking, model lineage, and versioning in AI-driven workloads.• Established data governance and lineage using Azure Purview, Snowflake RBAC, and Fabric workspace roles, ensuring compliance, security, and audit readiness.• Prepared and embedded text data with Hugging Face Transformers and OpenAI Embeddings to support LLM fine-tuning and enterprise AI search.• Collaborated with cross-functional teams to deliver analytics-ready datasets, AI assistants, and data visualization dashboards using Power BI and Tableau.• Monitored and optimized workloads via Azure Monitor, Fabric Real-Time Analytics, and Databricks Job Clusters, enhancing reliability and scalability.• Reduced cloud costs and improved performance by implementing best practices in Snowflake warehouse tuning, Delta optimization, and Fabric OneLake lifecycle management.
Education
University of North Texas
Master of Library & Information Science - MLIS
2021 — 2023
TKR College of Engineering and Technology, India
Bachelor's degree
2015 — 2019
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