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Shriju Maharjan

@shrijumaharjan

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Senior Data Engineer/Scientist driving scalable cloud data platforms and ML pipelines.

United States

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What I'm looking for

I seek senior cloud data engineering roles where I can design scalable pipelines, lead teams, improve ML productionization, and ensure strong data governance and observability in a collaborative, compliance-focused environment.

I am a Senior Data Engineer/Scientist with 8+ years building scalable, cloud-native data pipelines, data lakes, and data warehouses using Python, Spark, Databricks, Kafka, Airflow, and Infrastructure-as-Code. I have delivered measurable performance improvements—reducing query latency by 45%, speeding ETL by 35%, and improving predictive accuracy by 30%—while ensuring compliance with HIPAA and SOC2, and mentoring junior engineers.

I design end-to-end AWS and Azure architectures, implement real-time streaming and automated ML workflows, and drive cross-functional initiatives in analytics, NLP, and time-series forecasting. I prioritize reproducible deployments, observability, and data governance, and I seek roles where I can lead cloud data engineering efforts and deliver data-driven business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Elevance Health

Sep 2022 - Present (3 years)

Architected and implemented scalable cloud-native data pipelines and data lake solutions on AWS and Azure, reducing query latency by 45% and improving predictive model accuracy for patient interventions by 30%. Led real-time streaming and ML pipeline initiatives while ensuring HIPAA and SOC2 compliance.

Pyspark Databricks Kafka Airflow Terraform Snowflake Redshift Python AWS Azure

Data Engineer / Data Analyst

USAA

May 2021 - Aug 2022 (1 year 3 months)

Built and optimized ELT pipelines using dbt, AWS Glue, Snowflake, and Databricks, reducing data processing times by 35% and cutting reporting errors by 40% through data quality improvements. Integrated Kafka for real-time claims processing and automated orchestration with Airflow and Step Functions.

Snowflake DBT Databricks AWS Glue Kafka Airflow Python SQL Terraform Tableau

Data Engineer

Goldman Sachs

Oct 2019 - Apr 2021 (1 year 6 months)

Developed high-performance Spark ETL pipelines and automated ingestion, transformation, and metadata management, improving data reliability and regulatory compliance across enterprise workflows. Implemented CI/CD and IaC for reproducible deployments.