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SaiSumanth Mali

@saisumanthmali

Message

Data Engineer building scalable ETL/ELT and BI pipelines across healthcare and finance.

India

Message

What I'm looking for

I’m looking to deliver decision-ready ETL/ELT pipelines and Power BI/Tableau reporting with strong data quality, validation, and compliance across healthcare or financial domains.

I build end-to-end ETL/ELT pipelines and analytics systems for healthcare and financial data, including EHR, claims, and IoT feeds, plus large-scale daily datasets.

At Cigna Healthcare, I engineered Azure Data Factory pipelines, implemented Microsoft Fabric Lakehouse Medallion layers, and optimized SQL in Synapse and SQL Server to cut reporting latency by 40%.

Before that, at American Express, I designed AWS S3/Glue/Redshift workflows for 5TB+ per day, integrated Kafka with Lambda and Redshift to reduce latency from 15 minutes to under 1 minute, and used Airflow and Python to run 100+ daily ETL jobs with 99.9% uptime.

I’ve also built real-time behavioral analytics and dashboards with Kafka, HBase, Hive, Tableau, and EMR/Spark/S3, and accelerated reporting by migrating workloads to Snowflake.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Cigna Healthcare

Apr 2024 - Present (2 years 4 months)

Engineered end-to-end ETL/ELT pipelines in Azure Data Factory to ingest EHR, claims, and IoT data. Implemented Microsoft Fabric Lakehouse architecture with Medallion layers.

Azure Data Factory Microsoft Fabric Synapse SQL Server Azure Databricks PySpark Power BI DAX

Data Engineer

American Express

Jan 2023 - Mar 2024 (1 year 2 months)

Delivered scalable analytics pipelines using AWS S3, Glue, and Redshift to process 5TB+ of data daily. Enabled real-time analytics by integrating Kafka with AWS Lambda and Redshift.

S3 AWS Glue Redshift Kafka AWS Lambda Python Excel