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PROFESSIONAL SUMMARYResults-driven Data Engineer with 5+ years of experience designing, implementing, and optimizing large-scale ETL/ELT pipelines across multi-cloud environments (Azure, AWS, and GCP equivalents). Proven track record leading Teradata-to-cloud migrations, refactoring legacy SQL logic, and delivering high-performance data warehouses. Skilled in mapping Azure/AWS services to Google Cloud Platform tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer (Airflow). Adept in Python, PySpark, Terraform, and CI/CD practices, with strong domain expertise in healthcare and financial services.…PROFESSIONAL SUMMARYResults-driven Data Engineer with 5+ years of experience designing, implementing, and optimizing large-scale ETL/ELT pipelines across multi-cloud environments (Azure, AWS, and GCP equivalents). Proven track record leading Teradata-to-cloud migrations, refactoring legacy SQL logic, and delivering high-performance data warehouses. Skilled in mapping Azure/AWS services to Google Cloud Platform tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer (Airflow). Adept in Python, PySpark, Terraform, and CI/CD practices, with strong domain expertise in healthcare and financial services.

Sonia Bastola

Data Analyst, Data Scientist, Programmer, +2

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PROFESSIONAL SUMMARYResults-driven Data Engineer with 5+ years of experience designing, implementing, and optimizing large-scale ETL/ELT pipelines across multi-cloud environments (Azure, AWS, and GCP equivalents). Proven track record leading Teradata-to-cloud migrations, refactoring legacy SQL logic, and delivering high-performance data warehouses. Skilled in mapping Azure/AWS services to Google Cloud Platform tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer (Airflow). Adept in Python, PySpark, Terraform, and CI/CD practices, with strong domain expertise in healthcare and financial services.…PROFESSIONAL SUMMARYResults-driven Data Engineer with 5+ years of experience designing, implementing, and optimizing large-scale ETL/ELT pipelines across multi-cloud environments (Azure, AWS, and GCP equivalents). Proven track record leading Teradata-to-cloud migrations, refactoring legacy SQL logic, and delivering high-performance data warehouses. Skilled in mapping Azure/AWS services to Google Cloud Platform tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer (Airflow). Adept in Python, PySpark, Terraform, and CI/CD practices, with strong domain expertise in healthcare and financial services.

Available to hire

PROFESSIONAL SUMMARYResults-driven Data Engineer with 5+ years of experience designing, implementing, and optimizing large-scale ETL/ELT pipelines across multi-cloud environments (Azure, AWS, and GCP equivalents). Proven track record leading Teradata-to-cloud migrations, refactoring legacy SQL logic, and delivering high-performance data warehouses. Skilled in mapping Azure/AWS services to Google Cloud Platform tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Composer (Airflow). Adept in Python, PySpark, Terraform, and CI/CD practices, with strong domain expertise in healthcare and financial services.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Engineer at UnitedHealthcare

October 1, 2023 - November 21, 2025

Led Teradata-to-Azure Data Lake Storage Gen2 migration, refactoring legacy BTEQ scripts and complex SQL into optimized cloud-compliant queries — process directly applicable to Teradata-to-GCP (BigQuery) migrations. Built distributed ETL workflows using Azure Data Factory (ADF) — equivalent to GCP Dataflow — enabling seamless ingestion of structured/semi-structured healthcare data. Developed and deployed scalable data transformation logic in Databricks (PySpark) — equivalent to GCP Dataproc — reducing pipeline latency by 45%. Integrated Azure Synapse Analytics (BigQuery equivalent) for large-scale querying, cross-domain joins, and reporting. Streamed real-time data via Azure Event Hubs (Pub/Sub equivalent) and processed using Azure Stream Analytics. Applied Terraform for IaC and Azure DevOps CI/CD pipelines — directly transferable to GCP Deployment Manager/Cloud Build workflows. Enforced HIPAA/GDPR compliance, implementing secure storage (Azure Blob Storage / GCP Cloud Stora

Data Engineer at Verisk

September 1, 2023 - September 1, 2023

Designed and implemented ETL pipelines in AWS Glue (Dataflow equivalent) and PySpark, processing 5TB+ data weekly. Migrated workloads into Amazon Redshift (BigQuery equivalent), optimizing partitioning, sort keys, and materialized views. Built batch/real-time pipelines using Apache Kafka and AWS Kinesis (Pub/Sub equivalent). Managed secure cloud storage with Amazon S3 (Cloud Storage equivalent) using encryption, versioning, and lifecycle policies. Automated infrastructure provisioning via Terraform and CloudFormation (parallel to GCP Deployment Manager). Integrated Apache Airflow for orchestration (Composer equivalent).

Data Engineer at Cedar Gate Technologies

July 1, 2021 - July 1, 2021

Built scalable ETL pipelines using AWS Glue and Python for healthcare data ingestion. Designed Redshift-based analytical warehouse (BigQuery equivalent) with optimized joins and aggregation strategies. Developed Airflow DAGs (Composer equivalent) for pipeline orchestration and monitoring. Enabled secure storage and governance (AWS IAM/KMS → GCP IAM/Cloud KMS equivalent).