Aman Srinivas Nellutla

About Aman Srinivas Nellutla

Innovative Data Engineer with 5 years of experience in building scalable data pipelines, ETL workflows, and cloud-based data solutions. Skilled in designing real-time and batch processing systems, optimizing big data workflows, and ensuring data integrity for business intelligence and machine learning applications. Previously a Data Analyst, I have strong data visualization and business intelligence expertise, allowing me to translate raw data into meaningful insights. I bridge the gap between data engineering and analytics, ensuring that high-quality, well-structured data is readily available for decision-making.

Experience

1. Data Engineer

   Staples

   Feb 2023 — Present · Chester Springs, PA, US

   Developed and maintained ETL pipelines using Python, SQL, and AWS Glue, ensuring efficient data ingestion and transformation- Assisted in migrating legacy data systems to Snowflake, optimizing query performance and reducing storage costs- Designed and implemented data models in Snowflake and Redshift, improving reporting and analytics efficiency- Created Airflow DAGs to automate data workflows, reducing manual intervention and improving pipeline reliability- Optimized SQL queries and stored procedures, improving data retrieval times by 30% for analytics teams- Integrated real-time data streaming solutions using Kafka and Spark Streaming, enhancing data processing capabilities- Collaborated with data analysts and business stakeholders to ensure clean, structured, and well-governed data- Developed Power BI dashboards using curated datasets, improving business intelligence reporting and decision-making.

Education

• Gitam University, Hyderabad

  Bachelor of Technology - BTech

• Clark University

  Master of Science - MS