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Krishnamraju Penumatsa
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
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About
Data engineer currently at American Airlines who built and owned end-to-end flight operations and booking data pipelines (batch + real-time) using Azure Data Factory, Kafka, Spark/Databricks, Synapse, and Snowflake—processing hundreds of GBs/day. Strong focus on reliability and data quality (idempotency, checkpointing, retries, validation/alerts) and delivered near-real-time analytics powering Power BI dashboards; previously helped stand up an early-stage data platform at Sysco on AWS (Glue/S3/Redshift) with Airflow and Jenkins CI/CD.
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Key Strengths
- Owned end-to-end batch + streaming data pipelines (ingestion to serving) processing hundreds of GBs daily
- Reduced data latency to near real time for flight operations/booking analytics
- Improved pipeline performance by ~30% through Spark partitioning and SQL optimization
- Implemented robust data quality validation (Python + SQL) with monitoring/alerts for nulls, duplicates, and schema issues
- Built reliable streaming systems using checkpointing, retries, and idempotent processing to prevent duplicates
- Handled schema changes with flexible parsing and validation to protect downstream dashboards/analytics
- Delivered data serving layer enabling downstream consumption via Synapse/Snowflake and Power BI dashboards
- Stood up an early-stage data platform with pragmatic tool choices and CI/CD + observability (Jenkins/Git, logging/alerts)
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