Naveen Nuukarapu
Professional Summary
Data Engineer with 0 years of experience designing and operating ETL pipelines, cloud data platforms, and analytics solutions. Skilled in Python, SQL, Spark and AWS; delivered automated pipelines and interactive dashboards that improved reporting efficiency and data quality for financial, healthcare, and retail clients.
Technical Skills
Work Experience
- Designed and maintained ETL pipelines processing 5M+ records across financial, healthcare, and retail datasets using Python, Apache Spark, and AWS EMR to increase data availability for analytics consumers.
- Analyzed complex datasets with Python, SQL, and Pandas to extract actionable insights that supported revenue optimization efforts, contributing to a 15% improvement in identified revenue opportunities.
- Built and delivered Power BI dashboards and automated reporting workflows, reducing manual reporting effort by 60% and accelerating executive decision cycles.
- Developed ingestion and parsing solutions for unstructured sources (PDFs, external APIs) using Python and Spark, improving data accuracy by 25% and decreasing manual cleansing needs.
- Led migration from on-premise Microsoft SQL Server to Amazon Redshift, performing schema conversion, ETL validation, and performance tuning to ensure continuity of analytics and reporting.
- Constructed dimensional data models and materialized views and optimized SQL queries and Python scripts to accelerate report generation and improve query performance and processing throughput.
Projects
- Orchestrated serverless data ingestion and validation workflows using AWS Lambda to handle financial datasets and ensure reliable daily delivery.
- Automated manual Excel-based processes into repeatable ETL pipelines, reducing reporting SLA from 24 hours to 30 minutes for critical finance reports.
- Leveraged Amazon S3 for reliable cloud storage and staging to improve pipeline reliability and data availability for downstream analytics.
- Eliminated manual intervention through end-to-end automation and monitoring, increasing on-time delivery and reducing human error.
- Administered and validated the daily ETL pipeline to ensure consistent and accurate delivery of financial information to reporting consumers.
Education
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