Pranav S

Senior Data Analyst @Valley Bank

Newark, DE, US
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WORK HISTORY

Aug 2024 — Present

Senior Data Analyst @Valley Bank

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Overland Park, KS, US

Designed scalable data pipelines using Databricks and PySpark to process high-volume financial dataBuilt Delta Lake architectures with performance optimization (partitioning, Z-ordering)Created Source-to-Target Mappings (STTMs) and Design Documents for data workflowsDeveloped Azure Data Factory pipelines for end-to-end data integrationImplemented data governance, quality checks, and metadata managementBuilt Power BI dashboards with DAX and row-level securityOptimized pipeline and query performance using Spark UI and SQL tuning

EDUCATION

2022 — 2023

University of Central Missouri

Master's degree

ABOUT PRANAV S

Senior Data Analyst with 6+ years of experience designing scalable data solutions, building high-performance data pipelines, and translating complex data into actionable business insights. I specialize in working across Azure data platforms, leveraging tools like Databricks, PySpark, and Azure Data Factory to build robust ETL/ELT pipelines and dimensional data models. My experience spans financial services, insurance, and healthcare, where data accuracy, governance, and compliance are critical. In my current role, I design and optimize large-scale data pipelines processing millions of records daily, implement data quality frameworks, and collaborate closely with data engineers and architects to ensure seamless data movement across systems. Key strengths: Building scalable Databricks & PySpark pipelines Designing star schema & dimensional models Developing ADF pipelines & cloud data integrations Implementing data governance & quality frameworks Creating Power BI dashboards for executive insights I’m passionate about solving complex data problems and enabling organizations to make data-driven decisions through reliable and well-structured data systems.

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