Open to opportunities

Anjan Regmi

@anjanregmi

Message

I am a Senior Data Engineer specializing in scalable cloud data platforms.

United States

Message

What I'm looking for

I seek a senior data engineering role building cloud-native, scalable data platforms and ML feature pipelines, with emphasis on governance, compliance, cost optimization, mentorship, and cross-functional collaboration in agile environments.

I am a Senior Data Engineer with 6+ years designing and building scalable, cloud-native data platforms across finance, healthcare, and retail. I build and optimize end-to-end ETL and streaming pipelines using AWS, Azure, and GCP, and integrate ML feature pipelines to drive business outcomes.

I focus on data governance, security, cost optimization, and observability while mentoring engineers and aligning data initiatives with product and compliance goals. My work has reduced pipeline effort and costs, improved deployment success, and delivered governed data products to broad stakeholder groups.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Truist Financial

May 2023 - Present (2 years 3 months)

Designed a scalable AWS S3 data lake and led development of 40+ ETL workflows using AWS Glue and Airflow, reducing manual effort and improving pipeline efficiency by 50%. Built real-time ingestion pipelines processing 2,000,000 events daily and implemented governance and security measures (PII masking, KMS) to meet SOC 2/HIPAA/GDPR requirements.

AWS Glue Apache Airflow Pyspark Snowflake DBT Terraform Kafka CI CD

Big Data Developer

Cerner Corporation

Aug 2020 - Mar 2023 (2 years 7 months)

Implemented scalable ETL pipelines from Azure Blob to Snowflake and built 50+ PySpark pipelines and Synapse data marts, accelerating BI workloads and cutting query latency by 50%. Automated deployments and data quality with Jenkins, Databricks CLI, Terraform, and Great Expectations while ensuring HIPAA and SOC 2 compliance.

Azure Data Factory Databricks Pyspark Snowflake DBT Terraform Apache Kafka Great Expectations

Data Engineer

WinCo Foods

Jan 2019 - Jun 2020 (1 year 5 months)

Developed 30+ high-throughput ETL pipelines using Informatica and Python, migrated MapReduce jobs to PySpark improving performance by over 50%, and modeled data marts for analytics across 300+ retail outlets. Implemented real-time ingestion with Kafka and Flume, data validation with Great Expectations, and reconciliation logic that reduced financial discrepancies by 35%.