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Anamol Adhikari

@anamoladhikari

Message

Experienced Senior Data Engineer and Scientist with cloud expertise.

United States

Message

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth in data engineering and analytics.

I am an experienced Senior Data Engineer and Scientist with over 6 years of hands-on expertise in architecting, developing, and optimizing scalable data pipelines and end-to-end ETL processes. My proficiency spans across cloud-native solutions in AWS, Azure, and GCP, where I leverage IaaS, PaaS, and SaaS to deploy robust cloud data architectures.

Throughout my career, I have successfully developed predictive models using advanced machine learning techniques, conducted exploratory data analysis, and built interactive dashboards that facilitate strategic decision-making. My strong foundation in data modeling and metadata governance, combined with my experience in CI/CD automation, has enabled me to drive cross-functional collaboration and deliver impactful data solutions that enhance operational efficiency and improve service delivery.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Scientist/Engineer

Current

United Health Group

Aug 2022 - Present (3 years)

Developed predictive models using machine learning techniques to identify at-risk patient populations, improving early intervention effectiveness. Built real-time data streaming pipelines using Spark Streaming and Kafka on Azure HDInsight, enabling event-driven data architecture for fraud detection and network anomaly monitoring.

Machine Learning Kafka Azure HDInsight Snowflake Azure Data Factory TensorFlow scikit learn Power BI Redshift Terraform AWS CloudFormation Azure DevOps Pl SQL

Data Engineer

Wells Fargo

Jun 2020 - Jun 2022 (2 years)

Optimized BigQuery data models on GCP, improving query performance by 42% for customer analytics dashboards. Migrated legacy MapReduce programs to Spark using Scala and PySpark, reducing processing time by 55% for flight log analysis and maintenance scheduling workflows.

BigQuery GCP Spark Scala Pyspark Apache Airflow TensorFlow scikit learn AWS Sagemaker Tableau Azure Data Factory Redshift AWS Step Functions Terraform AWS CloudFormation Azure DevOps Kubernetes Kafka

Data Engineer

Western Union

Oct 2018 - May 2020 (1 year 7 months)

Developed and maintained ETL pipelines using Apache Spark, PySpark, and Scala, optimizing data transformation and reducing processing time by 40%. Designed and implemented AWS Data Pipelines with AWS Lambda, API Gateway, S3, and DynamoDB, automating fraud detection for 200M+ monthly transactions.

Apache Spark Pyspark Scala AWS Data Pipeline AWS Lambda API Gateway S3 DynamoDB Salesforce Databricks Apache Airflow Snowflake SQL Kafka Apache Flink Looker Power BI ETL SOX PCI DSS GDPR

Education

Degrees, certifications, and relevant coursework

Brigham Young University

Bachelor of Science, Computer Science

Studied Computer Science at Brigham Young University in Rexburg, Idaho. Gained foundational knowledge and skills in various aspects of computer science.