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Pranay Pentaparthy

@pranaypentaparthy

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Cloud Data Engineer building scalable, secure data platforms across AWS, Azure, and GCP.

United States

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What I'm looking for

I’m looking to build and scale cloud data platforms and ETL pipelines across AWS/Azure/GCP, with strong data quality and monitoring. I want roles where I can optimize performance, reduce cost, and deliver reliable analytics for real business impact.

I’m a Cloud Data Engineer with 2+ years of hands-on experience designing, building, and deploying data platforms on AWS, Azure, and GCP. I specialize in scalable data models, relational and NoSQL database architecture, and query performance tuning for both analytics and transactional workloads.

I build automated ETL and big-data pipelines using Apache Spark, Kafka, Hadoop, and dbt, and I deliver reliable cloud data systems with strong DevOps practices. In consulting, I helped ensure data quality and schema compliance across 50+ datasets, improved reporting speed (6 hours to 30 minutes daily), and supported on-time delivery with 99.9 uptime SLAs.

I also bring full-stack and analytics strengths—building Flask-based dashboards, integrating REST APIs and microservices, and applying BI and data science tools (Power BI, Tableau, Pandas, NumPy, Scikit-learn) to translate business needs into measurable outcomes. I’m energized by building data-driven solutions that improve operational efficiency and decision-making.

Experience

Work history, roles, and key accomplishments

Data Engineer Consultant

Tech Consulting

Sep 2024 - Jun 2026 (1 year 9 months)

Partnered with the Federal Reserve Bank of Minneapolis DataAPI team to validate datasets, ensure data quality/schema compliance, and deploy a public-facing IDDA data visualization platform. Built AWS/Flask/Lambda and Python/SQL data processing workflows on RedShift and implemented CI/CD, monitoring, and data quality checks to improve reliability and reduce manual reporting time.

Incident Response Support Associate

Jackson National Life Insurance

Feb 2024 - Sep 2024 (7 months)

Collaborated with development and risk-management teams to redesign application registration and policy compliance workflows. Supported incident triage and resolution with Azure DevOps and monitoring/automation tools, and created Tableau dashboards and weekly incident reporting.

Dashboarding Azure DevOps Aternity Remedy SQL PowerShell Excel Data Analysis Tableau Power BI Triage Monitoring Automated Responses Root Cause Analysis Reporting

Software Engineering Intern

Visteon Corporation

Jun 2023 - Aug 2023 (2 months)

Built a Python-based JIRA automation system to detect sprint bottlenecks and generate automated retrospective reporting via Jenkins pipelines and notifications. Analyzed team velocity and burndown patterns with Python/Pandas and implemented CI/CD and testing practices for production-ready automation.