Open to opportunities

Afrin Mulla

@afrinmulla

Message

Cloud-native data engineer building scalable lakehouse pipelines on AWS and Azure for analytics and AI/ML.

India

Message

What I'm looking for

I’m looking for a cloud-native data engineering role where I can build event-driven lakehouse ETL/ELT pipelines on AWS/Azure, strengthen data governance and quality, and deliver analytics-ready datasets that support BI and AI/ML.

I’m a Data Engineer with 4.5+ years designing scalable, cloud-native data platforms and enterprise ETL/ELT pipelines across AWS and Azure. I specialize in Databricks, PySpark, SQL, and Snowflake lakehouse architectures, with experience in healthcare analytics—from batch to real-time processing—and strong focus on data governance.

In my recent roles, I built event-driven healthcare data platforms processing millions of events using AWS API Gateway, EventBridge, and AWS Lambda, and developed near real-time ingestion pipelines with AWS Glue, EMR, PySpark, and SQL. I’ve also implemented payment vs invoice reconciliation logic, created modular dbt models for data warehousing, orchestrated workflows with AWS Step Functions and Apache Airflow (MWAA), and delivered analytics-ready datasets for BI teams. On Azure, I optimized Spark-based transformations to reduce ETL execution time by 35% and applied Master Data Management (MDM) to improve customer data consistency and reduce duplication.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

RIA Advisory LLP

Jan 2025 - Present (1 year 5 months)

Built a scalable AWS event-driven healthcare data platform, processing millions of events for enrollment, billing, invoicing, and payments. Designed near real-time ingestion pipelines and developed ETL/ELT workflows using AWS Glue/EMR/PySpark, improving reconciliation logic for payment-vs-invoice data consistency.

AWS Lambda AWS Glue Amazon EMR Pyspark SparkSQL DBT

Data Engineer

RIA Advisory LLP

Sep 2022 - Dec 2024 (2 years 3 months)

Developed Azure data pipelines to ingest multi-source enterprise data into ADLS Gen2 and implemented large-scale PySpark transformations in Azure Databricks. Built IVR-based retention models and a governed medallion (Bronze/Silver/Gold) lakehouse architecture, reducing ETL execution time by 35% and improving customer data consistency using MDM.

Azure ADLS Gen2 Azure Databricks Pyspark IVR Retention Modeling Medallion Architecture Master Data Management (MDM)Spark Optimization Power BI

ETL Tester

RIA Advisory LLP

Mar 2022 - Sep 2022 (6 months)

Performed ETL validation and source-to-target testing using SQL for a healthcare billing system (Evernorth Health Services/ORMB). Executed API testing with Postman and validated billing/receivables workflows to ensure enterprise data integrity, completeness, and reliability.

SQL API Testing Postman Healthcare Billing Data Integrity Test Execution

Software Consultant

Accenture

Jul 2021 - Dec 2021 (5 months)

Conducted ETL testing and data validation for telecom wholesale billing and data warehouse systems using SQL. Identified and tracked defects in HP ALM, and supported regression testing and deployment validation to ensure platform stability.

SQL ETL Testing Data Validation Defect Tracking (HP ALM)Regression Testing

Education

Degrees, certifications, and relevant coursework

Shivaji University

Bachelor of Engineering, Computer Science & Engineering

2014 - 2018

Bachelor of Engineering (Computer Science & Engineering) from Shivaji University, completed between 2014 and 2018. Focused on data platforms and enterprise ETL/ELT pipelines across AWS and Azure ecosystems.