Vamsi Reddy Ayyappaneni

Data Pipeline Optimization in Bank

• One of the leading banks aimed to enhance its data solutions for improved operational efficiency and strategic decision-making. The existing data pipelines were inefficient, leading to delays in data processing and impacting the bank's ability to make timely decisions. Improved data processing speed by 40%, reduced operational costs by 25%, and enhanced data security and quality.
• Roles and Responsibilities:
• Developed and improved data pipelines using Google Cloud services like BigQuery, Cloud DataProc, and Apache Airflow, helping to process data faster and more efficiently.
• Developed Python scripts to automate data extraction, transformation, and loading (ETL) processes, integrating with GCP services like BigQuery and Cloud DataProc to streamline data workflows.
• Optimized SQL queries for BigQuery to enhance data retrieval speed and efficiency, reducing query execution time by 30% and improving performance in data analysis tasks.
• Managed and optimized DataProc clusters to run both server-based and serverless batch jobs, ensuring efficient resource utilization and seamless integration with Apache Airflow for automating data processing workflows.
• Collaborated with cross-functional teams to understand data needs and fixed issues in the existing pipelines to make them more effective.
• Implemented Airflow DAGs workflows to automate and manage data processing tasks, improving data speed by 40%.
• Migrated and transformed data in BigQuery and DataProc, ensuring it was accurate and secure throughout the process.
• Analyzed and reduced operational costs by 25% by streamlining processes, optimizing resource usage in Cloud DataProc, and eliminating redundant data operations.
• Monitored and resolved issues in the data pipelines, ensuring that data was delivered on time for reports and analysis.
• Maintained data quality and security, following best practices to keep the bank’s data safe and reliable.

• Assisted more than 60 students in Fundamentals of C++ and networking techniques by teaching optimal programming practices and debugged programs whenever necessitated
• Guided students at the Student Resource Center by offering additional office hours that copes their crucial deadlines for this class