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Madhupal Singu
Mid-level Data Engineer specializing in multi-cloud data platforms for healthcare and finance
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Data engineer with Cigna experience building and operating an end-to-end AWS-based healthcare claims pipeline processing ~2TB/day, using Glue/Kafka/PySpark/SQL into Redshift. Strong focus on data quality and reliability (schema validation, monitoring/alerting, retries/checkpointing/backfills), reporting improved accuracy (~99%) and reduced latency, plus experience serving real-time Kafka/Spark data to downstream analytics with documented data contracts.
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Key Strengths
- Owned end-to-end healthcare claims data pipeline processing ~2TB/day
- Improved data accuracy to ~99% through validation and standardization
- Reduced reporting latency via optimized Spark/SQL transformations into Redshift
- Built observability (CloudWatch monitoring/alerting, custom logging) to catch failures early
- Designed resilient ingestion with retries, checkpointing, and backfill strategy
- Handled schema drift/inconsistent source schemas with validation and fallback logic
- Implemented anti-bot mitigation for external data collection (rate limiting, rotating headers, proxies, exponential backoff)
- Delivered real-time Kafka/Spark data service with documented data contracts and backward-compatible schema changes
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