Preethi Reddy
Data Engineer
- Role
- Data Engineer at First Republic
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Preethi Reddy
Our team at Accruent has been innovating through the design and implementation of…
Experience
Data Engineer
Aug 2023 — Present · Dallas, TX, US
Designed and developed ETL workflows using Azure Data Factory (ADF) to ingest, transform, and load data from diverse sources (on-prem SQL Server, REST APIs, FTP servers) into Azure Data Lake Storage (ADLS) and Snowflake. Engineered robust, scalable data pipelines using PySpark on Azure Databricks, ensuring efficient processing of high-volume structured and semi-structured data. Built and maintained data models and transformation layers in Snowflake using DBT, supporting real-time analytics for financial crime modeling and compliance reporting. Wrote Python scripts and SQL queries to perform data cleansing, validation, and enrichment, with a strong focus on data quality and performance tuning in Snowflake. Developed custom Azure Functions using JavaScript/Node.js for data transformation tasks within Azure Data Factory pipelines. Implemented CI/CD pipelines using Azure DevOps for automated deployment, version control, and testing of data workflows across multiple environments. Integrated Apache Kafka with Spark Streaming to enable real-time data ingestion and processing, supporting event-driven architectures for fraud detection. Built RESTful APIs in Node.js for internal data services to support real-time integration with Azure Data Lake and Azure SQL. Designed scalable Azure Data Factory (ADF) pipelines to orchestrate ingestion, transformation, and load large datasets from diverse sources into Azure SQL. Used Power BI and Tableau for interactive dashboards and developed custom React.js-based visualizations to deliver insights to business stakeholders. Deployed serverless workflows using Azure Functions to automate monitoring, alerts, and pipeline triggers, reducing manual intervention. Created and maintained documentation of data flows, transformation logic, and architecture to support governance and team onboarding. Collaborated cross-functionally with data analysts, architects, and business teams to gather requirements.
Education
University of North Texas
Masters
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