Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Priyanshi Singaram

Redmond,WA

Summary

Dedicated and results-oriented Data Engineer with a strong foundation in building robust data pipelines and scalable infrastructure. Known for relentless determination, a strong work ethic, and a passion for solving complex data challenges. Adept at transforming raw data into actionable insights to drive business success.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Research Assistant

University of Dayton
Dayton
01.2024 - 05.2025
  • Developed secure and scalable Azure AI Search pipelines to index and search confidential patient records from heterogeneous sources while ensuring compliance with data privacy standards.
  • Built custom indexers and indexes to process and structure clinical data extracted from PDFs, DOCX, EHRs, CSVs, XML, and JSON files using Azure Document Intelligence, OCR, and Computer Vision services.
  • Implemented Retrieval-Augmented Generation (RAG) models integrated with OpenAI APIs to enable precise and context-aware medical insights from patient histories and research documents.
  • Utilized embedding models for vector-based similarity search, improving semantic understanding and retrieval of patient data, diagnostic notes, and treatment plans.
  • Engineered custom skillsets in Azure Cognitive Search to extract entities such as medications, diagnoses, and procedures while maintaining strict HIPAA compliance throughout the pipeline.
  • Leveraged tools including Python, RESTful APIs, Azure Cognitive Services, and NLP to automate extraction, transformation, and searchability of sensitive medical data for real-time decision support.

Program Analyst Trainee (Full-time)

Cognizant
Pune
03.2023 - 07.2023
  • Designed and implemented end-to-end ETL pipelines using Azure Data Factory and Informatica to extract, transform, and load data from diverse sources into Azure Synapse and Blob Storage for centralized data warehousing.
  • Developed scalable PySpark scripts in Azure Databricks to process and enrich large datasets stored in ADLS, supporting downstream analytics and reporting.
  • Automated data transformation and validation processes using Python, improving pipeline reliability and reducing manual intervention.
  • Optimized data queries and workflows using SQL and Azure Synapse for high-performance analytics across structured and semi-structured data.
  • Built OLAP cubes and tabular models to enable fast, multidimensional analysis of processed data.
  • Created dynamic Power BI dashboards that translated complex data into actionable business insights, enabling informed decision-making for stakeholders.
  • Leveraged Big Data technologies and Hadoop ecosystem tools to handle high-volume data processing and support strategic analytics use cases.
  • Continuously monitored and fine-tuned data workflows to ensure high availability, performance, and data quality across the entire data lifecycle.

Program Analyst Trainee (Internship)

Cognizant
Hyderabad
03.2022 - 09.2022
  • Designed and maintained scalable ETL pipelines using Azure Data Factory to extract data from Oracle, PostgreSQL, and unstructured sources, transforming it into analytical-ready datasets and loading into Azure Synapse and Blob Storage.
  • Developed and scheduled data pipelines for structured, semi-structured, and unstructured data using ADF, PowerShell scripts, and Python notebooks within Azure Databricks, ensuring reliability and performance across workflows.
  • Implemented data modeling and transformation logic in Snowflake, using SQL, C#, and stored procedures to support downstream reporting and analytics.
  • Created DAGs (Directed Acyclic Graphs) to orchestrate and manage complex dependencies in data workflows, improving pipeline transparency and control.
  • Built and optimized interactive dashboards and reports in Power BI and Tableau, connecting them to Azure Synapse, Snowflake, and Blob Storage to visualize KPIs and drive business decisions.
  • Monitored and optimized data warehouse performance across Azure Synapse and Snowflake, identifying bottlenecks, fine-tuning queries, and implementing indexing strategies.
  • Automated daily data refreshes, job triggers, and alerting mechanisms using PowerShell, ADF triggers, and Azure Monitor, ensuring high availability and error transparency.
  • Collaborated with cross-functional teams including software developers, analysts, and data scientists to deliver clean, consistent, and accessible data across platforms.
  • Enforced data governance, access controls, and versioning protocols to maintain compliance and ensure secure handling of sensitive data assets.

Education

Masters -

University of Dayton
Dayton
01.2025

B.Tech -

Vignan's Institute of Management and Technology for Women
Hyderabad
01.2022

Skills

  • MySQL
  • Python
  • Java
  • C#
  • C
  • Html/Css
  • Django
  • Powershell
  • net Framework
  • BigData
  • Microsoft Office
  • Linux
  • Git
  • PowerBI
  • DataWarehouse
  • Tableau
  • Azure Data Factory
  • Azure DataBricks
  • Azure Synapse Analytics
  • Azure Blob Storage
  • Azure Event Hub
  • Azure Event Grid
  • Azure Service Bus
  • Azure AI search
  • ADF Triggers
  • Azure Functions
  • Snowflake
  • Hadoop Ecosystem (for Big Data processing)
  • Informatica
  • ETL/ELT Pipelines
  • PySpark
  • OLAP Cubes / Tabular Models
  • Directed Acyclic Graphs (DAGs)
  • PostgreSQL
  • Oracle
  • SQL Server
  • Azure SQL Database
  • Hadoop

Certification

  • AZ-900 Azure Fundamentals, Microsoft
  • AI-900 Microsoft Azure AI Fundamentals, Microsoft

Timeline

Research Assistant

University of Dayton
01.2024 - 05.2025

Program Analyst Trainee (Full-time)

Cognizant
03.2023 - 07.2023

Program Analyst Trainee (Internship)

Cognizant
03.2022 - 09.2022

Masters -

University of Dayton

B.Tech -

Vignan's Institute of Management and Technology for Women

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Priyanshi Singaram