Open to opportunities

Sangam Gautam

@sangamgautam

Senior Data Engineer specializing in cloud-native data platforms, lakehouse architectures, and scalable ETL/ELT pipelines.

United States

Message

What I'm looking for

I seek roles building cloud-native, scalable data platforms that emphasize automation, observability, compliance, and cross-cloud analytics, with opportunities to mentor and lead.

I am a Senior Data Engineer with 7+ years building scalable, secure data platforms across AWS, Azure, and GCP for healthcare, finance, and defense. I design and implement end-to-end ETL/ELT and streaming pipelines, focusing on reliability, observability, and compliance.

I've led production-grade implementations using Databricks, Snowflake, Apache Airflow, and cloud-native services (Glue, Data Factory, BigQuery), and delivered ML-ready feature pipelines and dimensional models that accelerated analytics and reduced costs.

I emphasize infrastructure-as-code, CI/CD, and automated data quality and governance (HIPAA, SOX, SOC 2), partnering with stakeholders and security teams to deliver compliant, performant data products.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Charles Schwab

Jan 2023 - Present (3 years 1 month)

Designed and maintained production-grade data lake and streaming pipelines on AWS, enabling sub-second analytics on high-volume trade events and reducing job failures while enforcing SEC/FINRA-compliant security controls.

AWS Glue S3 Kinesis Pyspark Snowflake Databricks Terraform Python

Data Engineer

The Hartford

May 2020 - Dec 2022 (2 years 7 months)

Built scalable ingestion and Delta Lake medallion architectures on Azure Databricks and Snowflake, delivering ELT pipelines and CI/CD that reduced compute costs 30% and supported near-real-time analytics.

Azure Data Factory Databricks Delta Lake Snowflake Azure DevOps Pyspark Apache Airflow DBT Python

Python / SQL Developer

Humana Inc.

Aug 2019 - Apr 2020 (8 months)

Developed and optimized complex SQL and Python ETL processes for healthcare analytics, improving report generation times and ensuring HIPAA-compliant data handling for eligibility and claims datasets.