Open to opportunities

Priya irava

@priyairava

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Data Engineer with 4+ years of experience in ETL and cloud services.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data engineering skills to drive impactful business solutions and contribute to a dynamic team.

I am a Data Engineer with over 4 years of experience in designing and optimizing ETL data pipelines, cloud services, and data governance frameworks. My expertise lies in performance optimization and scalability, enabling organizations to translate complex data into actionable insights. I have a strong background in building secure and compliant data processing systems, integrating both structured and unstructured data, and developing solutions that drive operational efficiency and business insights.

At Unum, I led the migration to AWS and established a CI/CD pipeline, which increased deployment efficiency by 30%. I streamlined claims data report generation, significantly reducing processing time and enhancing analytics reliability. My previous roles have allowed me to develop modern data pipelines and frameworks that have improved data validation efficiency and reduced costs for analytics teams. I am passionate about leveraging data to inform strategic decision-making and drive business success.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Unum

Sep 2024 - Present (8 months)

Led the migration to AWS and established a CI/CD pipeline, increasing deployment efficiency by 30%. Streamlined claims data report generation, reducing time from 8 to 2 hours weekly. Enhanced ETL architecture and executed data wrangling in PySpark and Python for insightful analytics.

Python AWS Terraform Jenkins Tableau ETL Pyspark SQL Data Warehousing Data Analytics

Research Graduate Assistant

Georgia State University

Jan 2023 - Jun 2024 (1 year 5 months)

Implemented data scraping with Python, reducing collection time significantly. Led a machine learning project to classify illegal weapons, improving detection accuracy and automating MLOps pipeline.

Python Machine Learning PyTorch TensorFlow MLOps

Data Intern

City of Atlanta (Fire Rescue Dept.)

Jun 2023 - Jul 2023 (1 month)

Built and optimized ETL pipelines using Python and SQL for emergency response data integration. Developed dashboards in Power BI and Tableau for visualizing key response metrics.

Python SQL ETL Power BI Tableau

Data Engineer II

Adons Softech

Aug 2019 - Jul 2022 (2 years 11 months)

Developed a data governance framework and modern data pipelines, enhancing compliance and data quality. Migrated large datasets to Snowflake and Redshift, reducing costs and improving data validation efficiency.