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Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
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About
Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.
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Key Strengths
- Owned end-to-end AWS data pipeline (ingestion to serving) with layered bronze/silver/gold transformations
- Built automated data quality/validation checks after each pipeline layer to catch transformation/data issues early
- High-volume financial data processing (mentioned ~15M transactions) with validation/anomaly detection for regulatory reporting
- Orchestrated daily automated pipelines using Apache Airflow
- Designed streaming/backend architecture using FastAPI + Kafka + Redis + Cassandra (personal project)
- Improved Snowflake query performance by 27% via partitioning/clustering strategies supporting multiple enterprise teams
- Applied reliability patterns for external data collection (exponential backoff with jitter, circuit breaking, blue-green/atomic swap loading)
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