Open to opportunities

Saransh Bogati

@saranshbogati

Message

Senior Data Engineer specializing in cloud-based big data and ML pipeline solutions.

United States

Message

What I'm looking for

I am seeking senior data engineering roles focused on cloud-native big data platforms, ML-ready pipelines, strong governance, automation, and collaborative agile teams.

I am a Senior Data Engineer with 7+ years building secure, cloud-native data platforms across AWS, Azure, and GCP. I design and implement scalable ETL/ELT and real-time ingestion frameworks to support analytics, ML, and regulatory reporting.

I have built Medallion data lake architectures, optimized data warehouses (Star and Snowflake schemas), and automated CI/CD and infrastructure with Terraform, CloudFormation, and Azure DevOps. My work has processed terabytes daily for healthcare and insurance domains.

I've implemented data governance, security controls (IAM, RBAC, KMS, Azure Key Vault, PrivateLink), and compliance frameworks for HIPAA, SOC2, and GDPR. I also deliver ML-ready feature datasets and apply NLP and LLM tools such as Hugging Face and LangChain for text extraction and predictive modeling.

I collaborate in agile teams, mentor engineers, and drive observability and automation efforts using Airflow, Step Functions, CloudWatch, and monitoring tooling to improve reliability, reduce operational overhead, and accelerate delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

The Cigna Group

Sep 2023 - Present (2 years 1 month)

Engineered and optimized large-scale ETL/ELT pipelines on Databricks, EMR, and HDInsight processing terabytes of healthcare data; improved pipeline reliability by 35% and maintained 99% uptime through automated orchestration and observability.

Pyspark Databricks Kafka Delta Lake Airflow Terraform Azure ADLS Gen2 Docker

Data Engineer

Aflac Incorporated

May 2020 - Aug 2023 (3 years 3 months)

Designed enterprise-scale ETL pipelines and a Medallion lakehouse on ADLS Gen2 and Databricks, improving processing speed and reliability by 45% and reducing query latency by 35% via optimized dimensional models.

Azure Data Factory Databricks ADLS Pyspark Azure Synapse Terraform Azure DevOps Azure Event Hubs Great Expectations

Data Analyst / SQL Developer

Cardinal Health

Mar 2018 - Mar 2020 (2 years)

Built BI dashboards and semantic data models in Power BI and Synapse, improving dashboard load times by 50% and enabling self-service analytics for executive stakeholders through optimized SQL and data marts.

Power BI Tableau T SQL Azure Synapse Pyspark Delta Lake Data Modeling DAX Azure Event Hubs Incremental Refresh

Education

Degrees, certifications, and relevant coursework

Florida State University

Master of Science, Computer Science

Master of Science in Computer Science from Florida State University focusing on advanced computing topics relevant to data engineering and machine learning.