Lasya Priya

About Lasya Priya

I am a Data Engineer with a strong foundation in cloud data platforms, pipeline automation, and scalable data architecture. I specialize in building reliable data workflows that transform raw data into trusted, analytics-ready datasets. Currently supporting data engineering initiatives for Meta, I work with structured data collection, quality validation, and large-scale data workflows that support AI systems and product intelligence. My experience includes designing ELT pipelines, automating data ingestion, and building scalable reporting solutions using Python, SQL, Microsoft Fabric, Databricks, and BI tools. At P&F Solutions, I automated multi-source data extraction and developed pipelines integrating 8–12 data sources, improving reporting efficiency by 60% and ensuring high data accuracy. I am particularly interested in cloud-native data engineering using Azure technologies including Data Factory, Synapse Analytics, Data Lake, and event-driven architectures.Core strengths include: • Building scalable ETL/ELT pipelines • Cloud data platforms & data lakes • Data modeling & warehousing • Workflow automation & orchestration • Data quality, governance & reliability • AI/ML data pipeline support I am actively seeking Data Engineer or Cloud Data Engineer opportunities where I can design robust data systems and support data-driven innovation.

Experience

1. Graduate Data Engineer

   Meta

   Feb 2026 — Present · Kirkland, WA, US

Education

• University of New Haven

  Master's degree, Information Science

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech, Electronics and Communications Engineering