Dinesh Eggoni
Data Engineer | Azure Lakehouse, CDC & Distributed ELT | Databricks, PySpark, Terraform | Vector Search & LLM-Ready Data Platforms
- Role
- Data Engineer at Verizon Wireless World
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Dinesh Eggoni
I am a Data Engineer specializing in building scalable cloud-native data platforms on Microsoft Azure, with hands-on experience designing ELT pipelines, real-time CDC ingestion systems, and Delta Lake–based Lakehouse architectures using Azure Data Factory, Databricks, PySpark, SQL, and Terraform. My work focuses on improving data freshness, reliability, and performance across production analytics environments by implementing incremental processing frameworks, partitioning strategies, lineage tracking, and SLA-driven monitoring systems. I have also built data ingestion and embedding pipelines supporting real-time retrieval workflows, vector search indexing, and RAG-based enterprise knowledge access using Azure AI Search. This includes preparing high-quality structured and unstructured datasets for semantic retrieval, enabling low-latency search experiences, and supporting AI-driven applications through scalable retrieval infrastructure integrated with modern Lakehouse platforms.
Experience
Data Engineer
Jul 2024 — Present · New York, NY, US
Implemented real-time data ingestion with Azure Data Factory and Event Hubs, enhancing data transformation efficiency.• Optimized data storage in Azure Synapse Analytics with partitioning and indexing, boosting query performance for large datasets.
Education
University of Houston
Master's degree, Computer & Systems Engineering
Vellore Institute of Technology (VIT)
Bachelor's degree, Electronics and communication Engineering
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