Jagadeesh Pamarthi
About jagadeesh
Senior Cloud Data Engineer with 9+ years of experience designing and scaling data platforms across FinTech, Payments, and Banking. Proven expertise in cloud-native data architectures on GCP and AWS, large-scale migrations (100+ TB), and regulatory-grade pipelines. Founder of a production mentorship platform, bringing a strong blend of engineering depth, platform thinking, and business execution.
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Professional Experience
Architected and delivered scalable data pipelines for Zettle, Xoom, and Crypto platforms while leading a team of 5 engineers. Led the migration of 100+ TB of financial data to GCP BigQuery and established CI/CD pipelines using GitHub Actions.
Engineered large-scale ETL pipelines for regulatory reporting platforms and designed reconciliation frameworks for financial datasets. Optimized Hive queries and execution plans to improve memory efficiency and processing times.
Designed distributed data pipelines using Apache Spark and Scala to process large Parquet datasets for the aviation domain. Automated ingestion of dynamic JSON data via shell scripting and integrated results into Elasticsearch and Kibana.
Modernized legacy applications by re-engineering them to Spring MVC to improve maintainability and reduce defect rates. Worked within Agile delivery teams using Java, Spring, and JavaScript for iterative feature development.
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