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Saideep Reddy Talusani
Mid-level Backend Engineer specializing in Python APIs and cloud-native services
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About
Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.
Experience
Education
Key Strengths
- Owned end-to-end credit risk analytics pipeline processing millions of records/day
- Built multi-layer lakehouse architecture (bronze/silver/gold) with Delta Lake and schema enforcement
- Implemented comprehensive data quality controls (schema/record-count checks, null/value validation, deduplication) with automated alerting
- Strong production reliability practices: checkpointing, retries, error handling, logging, and SLA-based monitoring
- Operational excellence in incident debugging using Databricks logs and Spark UI; structured root-cause approach
- Designed resilient third-party API ingestion with incremental loads, backfills, flexible parsing, and schema-change detection
- Shipped and operated curated data access services with performance tuning (partitioning, caching, pre-aggregations) and backward-compatible versioning
- Stood up early-stage data platform with pragmatic scoping, CI/CD via Azure DevOps, and observability from day one
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