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Sudeep govathoti
Mid-level Data Analyst/Data Engineer specializing in BI, ETL pipelines, and cloud analytics
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Data engineer focused on marketing/web analytics and external API pipelines, handling ~10M records/week. Built Azure-based ingestion and PySpark transformations with rigorous data quality checks, then served curated datasets into Synapse/Redshift for Power BI. Also designed an Airflow-orchestrated crypto REST API pipeline with monitoring, retries/exponential backoff, schema-change detection, and backfill-friendly reprocessing.
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Key Strengths
- Owned end-to-end analytics pipelines (ingestion → validation → transformation → serving) at ~10M records/week
- Strong data quality discipline (schema/type checks, null thresholds, reconciliation, dedup via composite keys, business-rule validation)
- Built resilient external API ingestion with Airflow orchestration, logging/alerts, retries and exponential backoff
- Delivered curated data service layer with SQL + REST access, optimized for performance (partitioning/indexing, payload control, query tuning)
- Implemented backward-compatible data versioning strategy (v1/v2 views; additive changes only) with documentation for consumers
- Served production-ready datasets to BI (Power BI) via optimized Synapse/Redshift tables, improving dashboard reliability
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