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Madhav Vaddepalli
Senior Data Engineer specializing in cloud data platforms and big data pipelines
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Data engineer focused on building reliable, production-grade pipelines and external data collection systems on AWS (S3/Lambda/SQS/Glue/EMR) using PySpark/SQL, serving curated datasets to Snowflake/Redshift for finance and fraud teams. Has operated a large-scale crawler ingesting millions of records/day with anti-bot tactics, schema versioning/quarantine, and CloudWatch/Datadog monitoring, and also shipped a versioned REST API with caching and query optimization.
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Key Strengths
- Owned end-to-end AWS data pipelines (ingestion to serving) for games/payments data into Snowflake/Redshift
- Implemented robust data validation and quality controls (schema/size checks, watermarking, PK uniqueness, null/duplicate checks, business totals)
- Built large-scale external data collection/web crawling system handling millions of records/day with throttling, retries/backoff, and DLQ
- Designed monitoring/alerting with CloudWatch and Datadog for volume anomalies and stability
- Implemented schema-change resilience via schema versioning, control testing, and quarantine paths
- Delivered a versioned REST API (v1/v2) with caching, query optimization, and developer-focused documentation
- Stood up early-stage pipeline with Terraform + CI/CD and improved reliability via idempotency and retries
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