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Bhanu Chander
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
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Data engineer focused on reliability and observability, building end-to-end pipelines processing millions of records/day from sources like S3 and Kafka. Has hands-on experience with Airflow-based data quality automation, PySpark/Databricks transformations, and shipping versioned Python REST APIs deployed via Docker/Kubernetes with CI/CD (Jenkins) and monitoring (CloudWatch/Azure Logs).
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Key Strengths
- Owned end-to-end data pipelines (ingestion to serving) using Python/SQL
- Built automated data quality checks in Airflow for million+ records/day pipelines
- Achieved ~99% reporting accuracy via validation and early error detection
- Implemented monitoring/alerting and automated retries (Airflow + CloudWatch)
- Handled schema changes with flexible PySpark processing and controlled backfills
- Shipped and operated versioned Python REST APIs with CI/CD (Jenkins) and backward compatibility
- Containerized and scaled APIs with Docker on Kubernetes; optimized queries for performance
- Stood up Azure Data Factory + Databricks pipelines from scratch in ambiguous environments with stakeholder-driven scoping
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