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
Information TechnologyView LinkedIn profile

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

  1. Data Engineer

    Verizon Wireless World

    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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Dinesh Eggoni — Data Engineer at Verizon Wireless World in Bellevue, WA, US | Unifers