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Rooq Ahsan

@rooqahsan

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Senior Data Engineer specializing in cloud-native lakehouse and analytics platforms.

United States

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What I'm looking for

I seek senior engineering roles building secure, scalable cloud data platforms and lakehouses, focused on performance, governance, and enabling analytics/ML.

I am a Senior Data Engineer with 7+ years designing, building, and optimizing large-scale cloud-native data platforms and lakehouse architectures across Azure, AWS, and Snowflake. I specialize in Azure Data Factory, Databricks, Apache Spark, SQL, and dbt to deliver analytics-ready datasets at scale.

At CareEvolution I engineered HIPAA-compliant lakehouse solutions, standardized clinical and claims data with PySpark and dbt, and optimized Spark and Snowflake workloads to reduce pipeline execution time by 50% while supporting 200+ business users and AI/ML initiatives. Previously, I modernized on-prem data warehouses to cloud platforms, improving reporting performance and reducing costs.

I focus on building reliable, secure, and performant ETL/ELT pipelines (batch, incremental, and streaming), implementing governance and automated quality checks, and enabling self-service BI with Power BI and Tableau to drive operational insights and predictive analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

CareEvolution

Aug 2023 - Present (2 years 6 months)

Engineered HIPAA-compliant cloud ETL/ELT lakehouse and streaming pipelines using Azure Data Factory, Databricks, Spark, and Snowflake, improving data quality by 40% and reducing pipeline execution time by 50% to support 15+ analytics dashboards.

Azure Data Factory Databricks Apache Spark Snowflake Pyspark Delta Lake Kafka Power BI Data Modeling

Current

Senior Data Solutions Engineer

Current

CareEvolution

Feb 2023 - Present (3 years)

Engineered HIPAA-compliant lakehouse and cloud ETL/ELT pipelines using Azure Data Factory, Databricks, Spark, and Snowflake, improving data quality (40% fewer reporting errors) and reducing pipeline execution time by 50% to support 15+ analytics dashboards.

Azure Data Factory Databricks Apache Spark Snowflake SQL Delta Lake Pyspark Kafka Power BI

Data Engineer

Powerlytics

Apr 2021 - Jul 2023 (2 years 3 months)

Built cloud-scale ingestion and incremental ETL pipelines into Azure Data Lake handling ~4 TB/day, improved query performance by 60% and reduced processing costs by 40% through partitioning and optimization.

Data Lake Azure Data Factory Python SQL ETL Partitioning Data Governance Monitoring

Cloud Data Engineer

Kloud9

Apr 2019 - Jan 2023 (3 years 9 months)

Built cloud-scale ingestion and incremental ETL pipelines into Azure Data Lake handling ~4 TB/day, implemented star schemas and partitioned processing to improve query performance by 60% and reduce processing costs by 40%.

Azure Data Factory Data Lake Pyspark SQL Partitioning Data Governance Azure Synapse Python

Data Warehouse Engineer

Upsolver

Jan 2018 - Mar 2021 (3 years 2 months)

Maintained cloud data warehouse solutions and migrated legacy ETL to cloud-native architectures, improving scalability and reducing maintenance overhead by 30% while improving dashboard load times by 45%.

SQL Python MySQL Azure SQL Data Modeling ETL Performance Tuning Data Quality

Data Warehouse Engineer

Tredence

May 2016 - Mar 2019 (2 years 10 months)

Maintained cloud data warehouse solutions and migrated legacy ETL to cloud-native architectures, improving dashboard load times by 45% and reducing maintenance overhead by 30%.