Looking for a job

Rabin Balayar

@rabinbalayar

Senior Data Engineer at BlackRock who modernized risk data pipelines and cut Spark job runtime from 90 to 35 minutes.

At BlackRock, I own data pipelines for Aladdin risk and portfolio analytics, processing market, position, and client data for valuation and exposure reporting. I optimized PySpark workloads on Azure Databricks, reducing a weekly rebalancing job’s runtime from 90 to 35 minutes.

Previously, I developed data pipelines at Citibank and supported healthcare ETL systems at Blue Cross Blue Shield Association and Armanino. My work has included streaming, cloud migrations, data quality, and governed datasets for financial and healthcare analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

BlackRock

Oct 2024 - Present (2 years)

Owned end-to-end data pipelines for BlackRock Aladdin risk and portfolio analytics, ingesting and transforming market, position, and client data from 15+ sources via Azure Data Factory. Developed optimized PySpark workloads on Azure Databricks and built Snowflake ELT frameworks to support daily valuation and exposure reporting.

Data Engineer

Citibank

Oct 2022 - Aug 2024 (1 year 10 months)

Developed near-real-time streaming pipelines using Apache Kafka and Amazon Kinesis for fraud monitoring, reducing processing latency from 10 minutes to under 2 minutes. Built reusable ingestion pipelines with AWS Glue and S3, and implemented incremental ELT pipelines to Snowflake for card transaction data.

Kafka Amazon Kinesis AWS Glue S3 PySpark Amazon EMR Snowflake DBT AWS Step Functions Airflow AWS Lambda Power BI Tableau Git Jenkins SQL CI CD

Junior ETL Developer

Blue Cross Blue Shield Association

Apr 2021 - Sep 2022 (1 year 5 months)

Supported near-real-time streaming pipelines using Azure Event Hubs and Azure Stream Analytics for eligibility verification, reducing latency from 6 hours to under 45 minutes. Performed root-cause analysis of duplicate claims in Snowflake and implemented deduplication logic, reducing erroneous payments by $180K quarterly.

Azure Event Hubs Azure Stream Analytics Snowflake PySpark Azure Databricks Azure Purview Power BI Python SQL GitHub Actions Azure Logic Apps Event Grid Azure Data Factory Debezium azure monitor Log Analytics

Software Engineer

Armanino

May 2019 - Mar 2021 (1 year 10 months)

Supported development and maintenance of backend components for Medicaid, Medicare, claims, member eligibility, provider, encounter, and care management applications. Designed and optimized SQL Server database objects and built SSIS packages to orchestrate healthcare data movement.