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Akhil Reddy Edla
Senior Data Engineer specializing in cloud data platforms and automated data quality
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About
Data engineer at CenterPoint Energy who built and operated multiple production-grade GCP data systems: a daily Snowflake→BigQuery replication framework (150+ tables) with Monte Carlo/Atlan-driven observability and schema-drift protection, plus a FastAPI metrics service for pipeline health. Demonstrated measurable impact (40% faster dashboard queries, 70% less manual refresh work, zero data loss) and strong operational rigor (scaling Cloud Run jobs, SAP SLT reconciliation, quarantine patterns, CI/CD via GitHub Actions + Terraform).
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Key Strengths
- Owned end-to-end Snowflake→BigQuery replication of 150+ tables with incremental loads on Cloud Run
- Implemented data observability with Monte Carlo (schema/volume/freshness) and Atlan lineage for traceability
- Resolved schema drift by comparing incoming schemas to registered schemas and halting/alerting on mismatch
- Improved performance via BigQuery optimization (partitioning/clustering) and achieved 40% dashboard latency reduction
- Automated deployments/operations with GitHub Actions and Terraform, reducing manual refresh work by 70%
- Scaled ingestion by chunking large extracts into batched micro-loads to avoid Cloud Run memory limits
- Built cross-source reconciliation checkpoints to keep SAP SLT and Snowflake streams consistent for exec dashboards
- Designed resilient web scraping pipeline with anti-bot handling, validation/quarantine, dedupe/upserts, and run logging
- Shipped internal FastAPI service with caching, strict input/output validation, and versioned APIs (/v1) with OpenAPI docs
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