Open to opportunities

Mo Khalid

@mokhalid

Message

Senior data engineer building governed healthcare lakehouse and real-time ETL/ELT pipelines on AWS, Azure, and GCP.

United States

Message

What I'm looking for

I’m looking to build governed healthcare data platforms—modernizing pipelines, improving data reliability and lineage, and delivering audit-ready datasets and real-time reporting across AWS, Azure, and GCP.

I’ve built and modernized healthcare data pipelines at Sythesis health, including ETL/ELT workflows in SQL, Python, PySpark, Airflow, Talend, NiFi, Databricks, and Snowflake. I’ve designed lakehouse architecture with Databricks, Delta Lake, and Snowflake to improve data consistency, reporting accuracy, and audit-ready readiness.

I’ve also supported HIPAA/PHI and GDPR-aligned governance with data quality validation, reconciliation workflows, metadata standards, and lineage controls, while optimizing high-volume Spark, Redshift, Snowflake, and BigQuery workloads. Earlier at BMC and Priority, I delivered batch and real-time insurance/claims pipelines with Kafka and Spark, plus dimensional warehousing with Kimball modeling and BI reporting in Tableau and Power BI.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Synthesis Health

May 2022 - Present (4 years 3 months)

Designed and modernized healthcare data pipelines supporting analytics, compliance, and regulatory reporting across AWS, Azure, and GCP. Built scalable ETL/ELT pipelines using SQL, Python, PySpark, Airflow, Databricks, and Snowflake.

SQL Python PySpark Airflow Talend NiFi Databricks Snowflake Delta Lake Workiva HIPAA PHI GDPR Data Quality Data Lineage MDM RBAC Data Vault

Data Engineer

BMC

Jul 2018 - Apr 2022 (3 years 9 months)

Built batch and real-time data pipelines using Spark, PySpark, Kafka, Hadoop, Airflow, and NiFi to process large-scale insurance and claims datasets. Centralized data into S3-based data lake storage and developed streaming pipelines for near real-time analytics.

Spark PySpark Kafka Hadoop Airflow NiFi S3 Databricks Data Validation

Data Warehouse Engineer

Priority

Mar 2015 - Jun 2018 (3 years 3 months)

Developed ETL pipelines using Talend, SSIS, SQL, Oracle, and Python to load data into data warehouse environments. Designed dimensional models using Kimball methodology and built reporting datasets with Tableau and Power BI.

Talend SSIS SQL Oracle Python Tableau Power BI Data Validation