Prudhvi Bollepalli
@prudhvibollepalli
Senior data engineer building scalable ETL and analytics pipelines across cloud platforms for banking-grade insights.
What I'm looking for
I’m a Senior Data Engineer with 5+ years of experience designing and implementing large-scale data pipelines, ETL workflows, and analytics solutions across banking, retail, and financial services. I focus on building scalable data architectures that support business intelligence and data-driven decision-making.
At TD Bank, I designed and developed real-time streaming and batch pipelines using PySpark, Apache Airflow, Apache Kafka, and Spark Streaming. I optimized Spark jobs and SQL queries, reducing data processing time by 45%, and I built dimensional data models in Snowflake for customer analytics, transaction reporting, and credit risk assessment.
I also built automated data quality frameworks using Great Expectations, and I implemented data governance controls like data lineage tracking, metadata management, and PII data masking to ensure regulatory compliance. I migrated legacy ETL processes from on-premise Teradata to AWS cloud, improving scalability and reducing operational costs.
Previously at Capital One, I developed pipelines with Python and PySpark for credit card and banking data, built ETL workflows with Apache Airflow, and supported analytics in Redshift for fraud detection, credit risk, and customer insights. I’m committed to Agile collaboration, production support, mentoring, and delivering secure, well-documented data platforms end-to-end.
Experience
Work history, roles, and key accomplishments
Designed and developed large-scale PySpark and Apache Airflow data pipelines for banking transactions and financial analytics. Built real-time Kafka/Spark Streaming pipelines, implemented ETL with AWS Glue, and optimized Spark/SQL performance while applying data governance and PII masking.
Developed Python and PySpark data pipelines and ETL workflows using Apache Airflow for credit card transactions and customer banking data. Implemented Redshift data models for analytics, built batch processing jobs, and supported production monitoring, security controls, and data governance.
Education
Degrees, certifications, and relevant coursework
University of Memphis
Data Science
Pursuing Data Science studies at the University of Memphis, with completion in May 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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