Open to opportunities

Nayla R

@naylar

Message

Senior Data Engineer specializing in lakehouse architectures, cloud platforms, and scalable streaming pipelines.

United States

Message

What I'm looking for

I seek a role designing scalable, secure cloud data platforms where I can lead lakehouse architecture, streaming pipelines, CI/CD automation, and mentor teams.

I am a results-driven Senior Data Engineer with 7+ years building enterprise-scale data platforms across healthcare, supply chain, and analytics domains. I specialize in architecting lakehouse solutions with Azure Databricks, Delta Lake, and Snowflake and optimizing batch and real-time pipelines using Spark, Kafka, and Flink.

I have implemented CDC pipelines, automated ML model lifecycles with MLflow, and delivered CI/CD infrastructure-as-code using Terraform and Azure DevOps to reduce deployment time and ensure compliance. My work has included ingesting and processing high-throughput streaming data, consolidating disparate datasets for self-service reporting, and enforcing governance like RBAC, data masking, and encryption.

I partner closely with cross-functional teams, mentor junior engineers, and drive end-to-end project ownership to enable real-time analytics, AI-driven insights, and reliable BI. I prioritize scalable, secure, and maintainable data ecosystems that align with business objectives.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Sepsis Scout

Apr 2023 - Present (2 years 6 months)

Architected and deployed a scalable lakehouse using Azure Databricks, Delta Lake, and Snowflake to consolidate enterprise datasets, enabling real-time analytics and self-service reporting; optimized streaming and batch pipelines to ingest 500K+ records daily with low latency.

Databricks Delta Lake Snowflake Apache Spark Apache Kafka MLFlow Terraform Azure DevOps

Data Engineer

ZeroDown

Aug 2020 - Mar 2023 (2 years 7 months)

Migrated Hadoop workflows to Databricks on AWS (S3, Glue, Redshift), built batch and real-time Spark pipelines processing billions of records, and managed 200+ Airflow workflows while enforcing HIPAA-compliant governance and reducing infrastructure costs.

Databricks AWS S3 AWS Glue Redshift Apache Spark Kafka Apache Airflow Data Governance

Junior Data Engineer

MentalHappy

Mar 2018 - Jul 2020 (2 years 4 months)

Developed ETL pipelines with Talend and NiFi to integrate clinical and operational data into PostgreSQL and Snowflake, designed dimensional models for BI, and implemented data quality frameworks and dashboards to improve analytics reliability.