Rajashekar Trivedi

Senior Consultant @Cognizant

IN

Data Engineer | JPMorgan ChaseEngineered data ingestion pipelines in Spark & PySpark to process high-volume financial transactions in near real-time.Developed SQL & Hive data models to support risk, compliance, and fraud detection dashboards.Integrated streaming data via Kafka into data lakes and downstream analytical platforms.Optimized ETL workflows in Azure Data Factory and scheduled them with Airflow for seamless orchestration.Implemented partitioning, bucketing, and caching strategies in Hive/Spark to reduce query runtime by ~40%.Partnered with Quant, Risk, and Treasury teams to deliver curated datasets for regulatory reporting & Basel compliance.Automated data quality checks (null handling, schema validation, reconciliation) improving reporting accuracy.Collaborated with DevOps to set up CI/CD pipelines in GitHub & Jenkins for data jobs.Enforced row-level security & masking policies to meet internal data governance and client confidentiality standards.Migrated legacy ETL jobs from Informatica/Ab Initio to Spark + cloud data lake architecture, improving scalability.

Baby moon high school

Kakatiya university , Mechanical Engineering

Kakatiya University, Warangal

Bachelor of Technology - BTech, Mechanical Engineering