Jahnavi Reddy Avula

About Jahnavi Reddy Avula

I\'m a Data Engineer with 4+ years of experience building and operating cloud data platforms across AWS, Azure, and GCP. I work end-to-end on ingestion, transformation, and curation layers that power analytics, reporting, and downstream applications in production environments, including HIPAA-regulated and financial data systems.In my current role, I design governed ETL/ELT pipelines using Snowflake, Databricks, SQL, and Python to support large-scale analytical workloads. I build batch and near-real-time pipelines, implement data quality and lineage frameworks, and partner with analytics and ML teams to deliver reliable, business-ready datasets.Previously, I engineered high-throughput streaming and batch pipelines using Glue, EMR, Kinesis, Kafka, Event Hubs, and Delta Lake, improving latency, reliability, and data consistency for enterprise reporting and operational monitoring. Across roles, I focus on writing maintainable data code, automating deployments with CI/CD and IaC, and applying strong governance, monitoring, and security practices honed in HIPAA and PCI-aligned environments.

Experience

1. Data Engineer

   Community Health Systems

   Jan 2024 — Present · Franklin, TN, US

   Built HIPAA-compliant ETL/ELT pipelines using Azure Data Factory, Snowflake, Databricks, SQL, and Python, supporting large-scale EHR, clinical, and operational reporting workloads.• Implemented data quality, validation, and lineage frameworks using Unity Catalog, Great Expectations, and RBAC, strengthening governance for PHI and regulated healthcare datasets.• Designed reusable PySpark transformation frameworks on Databricks, accelerating dataset onboarding and reducing repetitive engineering work across clinical and administrative domains.• Orchestrated batch and near–real-time pipelines using Airflow, with event-driven ingestion via AWS Lambda and Event Hubs, improving pipeline reliability and dashboard freshness.• Automated infrastructure and deployments using Terraform, CloudFormation, and GitLab CI/CD, standardizing ingestion, security, and governance practices across regulated clinical domains.• Delivered curated Snowflake datasets consumed by Power BI, reducing reporting cycles from 3 days to ~4 hours and improving leadership visibility into clinical operations and resource utilization.

Education

• SR University

  Bachelor of Technology - BTech, Computer Science

• University at Albany

  Master's degree, Data Science