Open to opportunities

Afshan Ali

@afshanali

Message

I build cloud-native data platforms for real-time analytics at scale.

United States

Message

What I'm looking for

I'm looking to lead cloud-native data platform work where I can build reliable real-time pipelines, strengthen governance and observability, mentor engineers, and turn complex business requirements into trusted data products.

At Freddie Mac, I architect Medallion-layer data pipelines on Snowflake and Databricks that deliver mortgage and financial data to more than 30 analytics and reporting consumers. I build Python and PySpark ETL/ELT pipelines processing billions of records daily, strengthen data quality with Great Expectations and dbt, and improve production reliability through Terraform, Datadog, Prefect, and Dagster.

I've also delivered cloud-native data platforms for financial, healthcare, audit, and SMB clients at UHY LLP and CNR Technologies. Across Azure, AWS, and GCP, I translate business requirements into governed, scalable data products, lead modernization and migration efforts, and mentor engineers in pipeline design and Agile delivery.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Freddie Mac

Feb 2022 - Present (4 years 6 months)

Architect and maintain enterprise-scale Medallion-layer data pipelines on Snowflake and Databricks, delivering clean mortgage and financial data to 30+ downstream consumers. Engineer high-throughput ETL/ELT pipelines in Python and PySpark using Azure Data Factory and dbt, processing billions of records daily.

Python PySpark SQL Snowflake Databricks Azure Data Factory DBT Terraform Prefect Dagster Redis Great Expectations Unity Catalog Datadog Palantir Foundry Microsoft Purview HIPAA IAM RBAC

Senior Data Engineer

UHY LLP

Nov 2019 - Jan 2022 (2 years 2 months)

Designed and delivered scalable data ingestion and transformation pipelines in Python, SQL, and dbt on Snowflake, supporting financial, healthcare, and audit reporting for 15+ client engagements. Migrated legacy ETL workflows to cloud-native Azure Data Factory and AWS Glue pipelines.

Python SQL DBT Snowflake Azure Data Factory AWS Glue Great Expectations Power BI Tableau HIPAA Jira Gitlab

Data Engineer

CNR Technologies

Aug 2014 - Oct 2019 (5 years 2 months)

Developed and maintained SQL-based ETL processes and automated data integration workflows, consolidating data from 12+ disparate source systems into centralized repositories. Engineered optimized stored procedures and indexing strategies in SQL Server and PostgreSQL.

SQL SQL Server PostgreSQL ETL Azure Data Factory SSIS Power BI