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Hamza Ali

@hamzaali29

Senior Data Engineer at People Inc. who architected a HIPAA-compliant Azure lakehouse, improving query performance by 40%.

United States

Message

At People Inc., I architected a HIPAA-compliant lakehouse on Azure Databricks and Delta Lake to standardize HL7 v2 and FHIR ingestion from EHR systems. It improved downstream query performance by 40% and reduced storage costs by 30%.

I led the migration of analytics workloads to Microsoft Fabric and OneLake, creating a governed platform that supports more than 200 business and clinical users. I also built pipelines to prepare enterprise data for RAG and other Generative AI applications.

Earlier, at DataSap Inc., I modernized enterprise data workflows and reduced batch processing time by 35%. At Infosys, I developed Python and SQL ETL pipelines for reporting and analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

People Inc.

Jan 2022 - Present (4 years 9 months)

Architected a HIPAA-compliant lakehouse using Azure Databricks, Delta Lake, and Medallion Architecture, improving query performance by 40% and reducing storage costs by 30%. Led migration to Microsoft Fabric and OneLake, supporting 200+ users.

Data Engineer

DataSap Inc.

Mar 2019 - Dec 2021 (2 years 9 months)

Designed and developed ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, and Synapse, modernizing 30+ workflows. Built distributed processing pipelines and migrated reporting to Snowflake, improving performance by 40%.

Azure Data Factory Azure Databricks PySpark Azure Synapse Delta Lake Snowflake SQL Kafka Spark Structured Streaming Terraform CI CD

Junior Data Engineer

Infosys

Jun 2017 - Feb 2019 (1 year 8 months)

Developed and maintained Python and SQL-based ETL pipelines for enterprise reporting. Automated data preparation and validation processes, reducing manual effort by 30%.