Rishi Teja Raparthy Email & Phone Number

California, United States

Indiana, United States

- Pipeline Creation: Developed data pipelines using Apache Airflow and AWS Glue, automating ETL processes across diverse data sources.- Data Extraction & Transformation: Extracted data using SQL and Python, then transformed it with Pandas and PySpark to ensure quality and consistency.- Data Loading: Loaded processed data into AWS Redshift and Google BigQuery, cutting data processing time by 30% and accelerating access to insights.Tools: SQL | Python | Airflow | AWS Glue | Redshift |… Show more - Pipeline Creation: Developed data pipelines using Apache Airflow and AWS Glue, automating ETL processes across diverse data sources.- Data Extraction & Transformation: Extracted data using SQL and Python, then transformed it with Pandas and PySpark to ensure quality and consistency.- Data Loading: Loaded processed data into AWS Redshift and Google BigQuery, cutting data processing time by 30% and accelerating access to insights.Tools: SQL | Python | Airflow | AWS Glue | Redshift | Snowflake | BigQuery | Git Show less

Indiana, United States

- Led the development of data pipelines and analytical tools to manage and optimize the shortest route maps for firefighters during emergencies using ArcGIS, significantly enhancing response times and operational efficiency.- Built and optimized data pipelines leveraging PostgreSQL, AWS Lambda, and AWS S3 to enable real-time processing of IoT device data. Enhanced the accuracy of operational analytics by 40%, providing timely and reliable insights for informed decision-making.- Cleaned… Show more - Led the development of data pipelines and analytical tools to manage and optimize the shortest route maps for firefighters during emergencies using ArcGIS, significantly enhancing response times and operational efficiency.- Built and optimized data pipelines leveraging PostgreSQL, AWS Lambda, and AWS S3 to enable real-time processing of IoT device data. Enhanced the accuracy of operational analytics by 40%, providing timely and reliable insights for informed decision-making.- Cleaned and transformed large datasets from IoT devices using Apache Spark and AWS Glue. Streamlined data processing using Snowflake, achieving a 30% reduction in data inconsistencies and enabling more reliable insights.- Developed interactive Power BI dashboards to visualize firefighter movement and performance metrics, leading to a 25% improvement in operational visibility and faster emergency response times.- Established comprehensive data validation methods and conducted rigorous testing on processed datasets to ensure data accuracy and reliability. Managed version control using Git, enhancing collaboration efficiency by 30% and ensuring robust deployment processes Show less

Mumbai, Maharashtra, India

- Pioneered to the design and development of scalable data pipelines for both Xcelerate and UnitedHealthcare, enhancing data accessibility and analytical capabilities essential for informed healthcare decision-making, involved collaborating with cross-functional teams to ensure seamless integration.- Leveraged Apache NiFi and Google Cloud Dataflow to construct and optimize data pipelines, achieving a 35% increase in processing efficiency and a 25% reduction in ETL job completion times… Show more - Pioneered to the design and development of scalable data pipelines for both Xcelerate and UnitedHealthcare, enhancing data accessibility and analytical capabilities essential for informed healthcare decision-making, involved collaborating with cross-functional teams to ensure seamless integration.- Leveraged Apache NiFi and Google Cloud Dataflow to construct and optimize data pipelines, achieving a 35% increase in processing efficiency and a 25% reduction in ETL job completion times while improving the overall performance of data-driven decision-making processes..- Executed data cleaning and transformation on extensive healthcare datasets using R and Apache Spark, resulting in a 20% improvement in data quality for analysis, ultimately enhancing patient outcome assessments. - Engineered and implemented comprehensive data security protocols utilizing Azure Data Lake and Microsoft Power BI, effectively safeguarding sensitive healthcare information. As a result, compliance with healthcare data protection regulations improved by 45%.- Established robust data validation methods, conducting thorough testing on processed datasets to ensure accuracy. Managed version control through GitHub and automated deployment processes via Jenkins, enhancing collaboration efficiency by 40% and ensuring reliable data operations. Show less

Master Of Science - Ms, Applied Data Science, 3.7

Bachelor Of Technology - Btech, Mechanical Engineering, 7.1