Open to opportunities

Archana User

@archanauser3

Message

Senior Data Engineer building cloud-native, scalable data platforms.

United States

Message

What I'm looking for

I seek roles building scalable, cloud-native data platforms that enable analytics and ML, with strong emphasis on compliance, automation, and cross-functional collaboration.

I am a Senior Data Engineer with 6+ years designing and delivering cloud-native, high-performance data platforms and ETL pipelines across AWS, Azure, and GCP. I specialize in Spark (PySpark, Spark-SQL), Snowflake, Databricks, and BigQuery, and use Airflow, dbt, and Terraform to automate robust, auditable pipelines for analytics and ML readiness.

I've led production lakehouse and real-time ingestion initiatives that improved query performance, reduced costs, and enforced regulatory compliance (HIPAA, GDPR, 21 CFR Part 11). I mentor engineers, define Data-as-a-Product standards, and collaborate with cross-functional stakeholders to turn complex clinical, manufacturing, and healthcare data into reliable analytics and ML outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Pfizer

Sep 2023 - Present (2 years)

Led modernization of a GxP-compliant lakehouse on AWS, Snowflake, and Databricks to unify clinical and manufacturing data, enabling sub-minute pharmacovigilance dashboards and tripling certified dataset adoption.

AWS S3 Databricks Snowflake Pyspark Apache Flink Airflow DBT Great Expectations MLFlow

Data Engineer

Johnson & Johnson

Nov 2021 - Aug 2023 (1 year 9 months)

Built cloud-native data platform integrating Medicare/Medicaid and clinical datasets using Spark, Kafka, and Snowflake, reducing processing latency 50% and cutting query time and costs via optimized pipelines.

Apache Spark Pyspark Kafka Snowflake AWS Azure Terraform DBT Airflow

ETL Developer

Wells Fargo

Sep 2019 - Oct 2021 (2 years 1 month)

Developed and modernized ETL pipelines with Azure Data Factory and Databricks to migrate legacy data into Snowflake, reducing batch runtimes by 60% and improving dashboard responsiveness 3x.